| { | |
| "best_metric": 0.6442861557006836, | |
| "best_model_checkpoint": "Action_model/checkpoint-600", | |
| "epoch": 10.0, | |
| "eval_steps": 100, | |
| "global_step": 6280, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 1.9006062746047974, | |
| "learning_rate": 9.968152866242038e-05, | |
| "loss": 2.1282, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 2.270326614379883, | |
| "learning_rate": 9.936305732484077e-05, | |
| "loss": 1.9389, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 2.4455759525299072, | |
| "learning_rate": 9.904458598726115e-05, | |
| "loss": 1.7096, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 2.7374861240386963, | |
| "learning_rate": 9.872611464968153e-05, | |
| "loss": 1.4553, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 2.2748217582702637, | |
| "learning_rate": 9.840764331210192e-05, | |
| "loss": 1.3291, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.7457142857142857, | |
| "eval_loss": 1.1432547569274902, | |
| "eval_runtime": 24.2055, | |
| "eval_samples_per_second": 43.379, | |
| "eval_steps_per_second": 5.453, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 6.182733535766602, | |
| "learning_rate": 9.80891719745223e-05, | |
| "loss": 1.2402, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 3.0395169258117676, | |
| "learning_rate": 9.777070063694268e-05, | |
| "loss": 1.1275, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 3.663072347640991, | |
| "learning_rate": 9.745222929936307e-05, | |
| "loss": 1.0061, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 2.044201135635376, | |
| "learning_rate": 9.713375796178345e-05, | |
| "loss": 1.0052, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 3.233858585357666, | |
| "learning_rate": 9.681528662420382e-05, | |
| "loss": 0.9409, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "eval_accuracy": 0.7685714285714286, | |
| "eval_loss": 0.8621137738227844, | |
| "eval_runtime": 14.6062, | |
| "eval_samples_per_second": 71.887, | |
| "eval_steps_per_second": 9.037, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 3.4736602306365967, | |
| "learning_rate": 9.649681528662421e-05, | |
| "loss": 0.8728, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 4.214045524597168, | |
| "learning_rate": 9.617834394904459e-05, | |
| "loss": 0.865, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 4.457535743713379, | |
| "learning_rate": 9.585987261146497e-05, | |
| "loss": 0.8243, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 5.426912307739258, | |
| "learning_rate": 9.554140127388536e-05, | |
| "loss": 0.8089, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 3.6690785884857178, | |
| "learning_rate": 9.522292993630574e-05, | |
| "loss": 0.7815, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "eval_accuracy": 0.7676190476190476, | |
| "eval_loss": 0.7599405646324158, | |
| "eval_runtime": 14.7234, | |
| "eval_samples_per_second": 71.315, | |
| "eval_steps_per_second": 8.965, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 3.9266645908355713, | |
| "learning_rate": 9.490445859872612e-05, | |
| "loss": 0.856, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 4.882758617401123, | |
| "learning_rate": 9.458598726114651e-05, | |
| "loss": 0.7119, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 4.982381343841553, | |
| "learning_rate": 9.426751592356689e-05, | |
| "loss": 0.7165, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 9.61684799194336, | |
| "learning_rate": 9.394904458598726e-05, | |
| "loss": 0.7334, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 4.234207630157471, | |
| "learning_rate": 9.364649681528663e-05, | |
| "loss": 0.6803, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "eval_accuracy": 0.7209523809523809, | |
| "eval_loss": 0.88614422082901, | |
| "eval_runtime": 14.4486, | |
| "eval_samples_per_second": 72.671, | |
| "eval_steps_per_second": 9.136, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 4.2712836265563965, | |
| "learning_rate": 9.332802547770702e-05, | |
| "loss": 0.7381, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 4.896230220794678, | |
| "learning_rate": 9.30095541401274e-05, | |
| "loss": 0.6985, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 6.688229560852051, | |
| "learning_rate": 9.269108280254777e-05, | |
| "loss": 0.6238, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 0.8742395043373108, | |
| "learning_rate": 9.237261146496817e-05, | |
| "loss": 0.5231, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 7.481076240539551, | |
| "learning_rate": 9.205414012738854e-05, | |
| "loss": 0.6277, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "eval_accuracy": 0.7304761904761905, | |
| "eval_loss": 0.8189947009086609, | |
| "eval_runtime": 14.388, | |
| "eval_samples_per_second": 72.977, | |
| "eval_steps_per_second": 9.174, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 4.198249340057373, | |
| "learning_rate": 9.173566878980892e-05, | |
| "loss": 0.5832, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 4.3164286613464355, | |
| "learning_rate": 9.141719745222931e-05, | |
| "loss": 0.6607, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 4.7557759284973145, | |
| "learning_rate": 9.109872611464969e-05, | |
| "loss": 0.5325, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 3.6213605403900146, | |
| "learning_rate": 9.078025477707007e-05, | |
| "loss": 0.6377, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 3.4348907470703125, | |
| "learning_rate": 9.046178343949046e-05, | |
| "loss": 0.5569, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "eval_accuracy": 0.799047619047619, | |
| "eval_loss": 0.6442861557006836, | |
| "eval_runtime": 14.5781, | |
| "eval_samples_per_second": 72.026, | |
| "eval_steps_per_second": 9.055, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "grad_norm": 3.056196451187134, | |
| "learning_rate": 9.014331210191084e-05, | |
| "loss": 0.5262, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 5.837003707885742, | |
| "learning_rate": 8.982484076433122e-05, | |
| "loss": 0.5519, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 3.373262643814087, | |
| "learning_rate": 8.950636942675161e-05, | |
| "loss": 0.5346, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "grad_norm": 23.955032348632812, | |
| "learning_rate": 8.920382165605096e-05, | |
| "loss": 0.5024, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 8.919329643249512, | |
| "learning_rate": 8.888535031847133e-05, | |
| "loss": 0.5029, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "eval_accuracy": 0.7676190476190476, | |
| "eval_loss": 0.74560546875, | |
| "eval_runtime": 14.3938, | |
| "eval_samples_per_second": 72.948, | |
| "eval_steps_per_second": 9.171, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 3.3955509662628174, | |
| "learning_rate": 8.856687898089173e-05, | |
| "loss": 0.5526, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 4.959121227264404, | |
| "learning_rate": 8.82484076433121e-05, | |
| "loss": 0.6102, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "grad_norm": 4.158123970031738, | |
| "learning_rate": 8.792993630573248e-05, | |
| "loss": 0.5073, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "grad_norm": 5.6492815017700195, | |
| "learning_rate": 8.761146496815287e-05, | |
| "loss": 0.5264, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "grad_norm": 6.516519069671631, | |
| "learning_rate": 8.729299363057325e-05, | |
| "loss": 0.3852, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "eval_accuracy": 0.7695238095238095, | |
| "eval_loss": 0.7608746886253357, | |
| "eval_runtime": 14.1377, | |
| "eval_samples_per_second": 74.27, | |
| "eval_steps_per_second": 9.337, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 2.4917163848876953, | |
| "learning_rate": 8.697452229299363e-05, | |
| "loss": 0.3567, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "grad_norm": 6.754037380218506, | |
| "learning_rate": 8.665605095541402e-05, | |
| "loss": 0.3531, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 2.805572032928467, | |
| "learning_rate": 8.63375796178344e-05, | |
| "loss": 0.4395, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "grad_norm": 6.810430526733398, | |
| "learning_rate": 8.601910828025478e-05, | |
| "loss": 0.4404, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 3.569650888442993, | |
| "learning_rate": 8.570063694267517e-05, | |
| "loss": 0.4065, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "eval_accuracy": 0.7704761904761904, | |
| "eval_loss": 0.7441606521606445, | |
| "eval_runtime": 14.6102, | |
| "eval_samples_per_second": 71.867, | |
| "eval_steps_per_second": 9.035, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 5.281124114990234, | |
| "learning_rate": 8.538216560509554e-05, | |
| "loss": 0.3558, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 2.859487295150757, | |
| "learning_rate": 8.506369426751592e-05, | |
| "loss": 0.5225, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 1.9912675619125366, | |
| "learning_rate": 8.474522292993631e-05, | |
| "loss": 0.4057, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "grad_norm": 2.6385486125946045, | |
| "learning_rate": 8.442675159235669e-05, | |
| "loss": 0.327, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "grad_norm": 1.4441651105880737, | |
| "learning_rate": 8.410828025477707e-05, | |
| "loss": 0.4319, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "eval_accuracy": 0.7542857142857143, | |
| "eval_loss": 0.8239891529083252, | |
| "eval_runtime": 14.7208, | |
| "eval_samples_per_second": 71.328, | |
| "eval_steps_per_second": 8.967, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 6.856269359588623, | |
| "learning_rate": 8.378980891719746e-05, | |
| "loss": 0.3086, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "grad_norm": 3.9138472080230713, | |
| "learning_rate": 8.347133757961784e-05, | |
| "loss": 0.434, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "grad_norm": 1.921924114227295, | |
| "learning_rate": 8.315286624203822e-05, | |
| "loss": 0.474, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 2.406094789505005, | |
| "learning_rate": 8.283439490445861e-05, | |
| "loss": 0.4016, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 3.4770796298980713, | |
| "learning_rate": 8.251592356687899e-05, | |
| "loss": 0.4167, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_accuracy": 0.7571428571428571, | |
| "eval_loss": 0.8335052728652954, | |
| "eval_runtime": 14.4944, | |
| "eval_samples_per_second": 72.442, | |
| "eval_steps_per_second": 9.107, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 3.806575298309326, | |
| "learning_rate": 8.219745222929936e-05, | |
| "loss": 0.3995, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "grad_norm": 4.899787902832031, | |
| "learning_rate": 8.187898089171974e-05, | |
| "loss": 0.4137, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "grad_norm": 3.540315866470337, | |
| "learning_rate": 8.156050955414013e-05, | |
| "loss": 0.3625, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 5.864512920379639, | |
| "learning_rate": 8.124203821656051e-05, | |
| "loss": 0.3156, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 5.941263675689697, | |
| "learning_rate": 8.092356687898089e-05, | |
| "loss": 0.3778, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "eval_accuracy": 0.7666666666666667, | |
| "eval_loss": 0.8210071325302124, | |
| "eval_runtime": 14.6523, | |
| "eval_samples_per_second": 71.661, | |
| "eval_steps_per_second": 9.009, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 10.370551109313965, | |
| "learning_rate": 8.060509554140128e-05, | |
| "loss": 0.3759, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "grad_norm": 0.30926162004470825, | |
| "learning_rate": 8.028662420382166e-05, | |
| "loss": 0.3933, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 2.01, | |
| "grad_norm": 3.72684907913208, | |
| "learning_rate": 7.998407643312102e-05, | |
| "loss": 0.4111, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "grad_norm": 0.4711369276046753, | |
| "learning_rate": 7.966560509554141e-05, | |
| "loss": 0.3268, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "grad_norm": 2.9964778423309326, | |
| "learning_rate": 7.934713375796179e-05, | |
| "loss": 0.3818, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "eval_accuracy": 0.7485714285714286, | |
| "eval_loss": 0.8431442975997925, | |
| "eval_runtime": 14.7089, | |
| "eval_samples_per_second": 71.385, | |
| "eval_steps_per_second": 8.974, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.1, | |
| "grad_norm": 4.478536128997803, | |
| "learning_rate": 7.902866242038217e-05, | |
| "loss": 0.4138, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "grad_norm": 10.571870803833008, | |
| "learning_rate": 7.871019108280256e-05, | |
| "loss": 0.3231, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 2.17, | |
| "grad_norm": 0.3552369773387909, | |
| "learning_rate": 7.839171974522294e-05, | |
| "loss": 0.2726, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "grad_norm": 7.564175605773926, | |
| "learning_rate": 7.807324840764331e-05, | |
| "loss": 0.3614, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "grad_norm": 3.9198570251464844, | |
| "learning_rate": 7.77547770700637e-05, | |
| "loss": 0.3249, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "eval_accuracy": 0.7276190476190476, | |
| "eval_loss": 0.915591299533844, | |
| "eval_runtime": 14.3099, | |
| "eval_samples_per_second": 73.376, | |
| "eval_steps_per_second": 9.224, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "grad_norm": 3.698049306869507, | |
| "learning_rate": 7.743630573248408e-05, | |
| "loss": 0.3335, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "grad_norm": 4.099252223968506, | |
| "learning_rate": 7.711783439490446e-05, | |
| "loss": 0.3994, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "grad_norm": 3.5469987392425537, | |
| "learning_rate": 7.679936305732485e-05, | |
| "loss": 0.3912, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "grad_norm": 0.5396450161933899, | |
| "learning_rate": 7.648089171974523e-05, | |
| "loss": 0.3337, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 2.39, | |
| "grad_norm": 2.9178402423858643, | |
| "learning_rate": 7.616242038216561e-05, | |
| "loss": 0.2931, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.39, | |
| "eval_accuracy": 0.7371428571428571, | |
| "eval_loss": 0.8948376178741455, | |
| "eval_runtime": 14.4741, | |
| "eval_samples_per_second": 72.543, | |
| "eval_steps_per_second": 9.12, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "grad_norm": 3.9901485443115234, | |
| "learning_rate": 7.5843949044586e-05, | |
| "loss": 0.3061, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "grad_norm": 5.539924621582031, | |
| "learning_rate": 7.552547770700638e-05, | |
| "loss": 0.354, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "grad_norm": 0.7245145440101624, | |
| "learning_rate": 7.520700636942676e-05, | |
| "loss": 0.3427, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "grad_norm": 5.047821044921875, | |
| "learning_rate": 7.488853503184715e-05, | |
| "loss": 0.3581, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "grad_norm": 9.612607955932617, | |
| "learning_rate": 7.457006369426752e-05, | |
| "loss": 0.2808, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "eval_accuracy": 0.7466666666666667, | |
| "eval_loss": 0.9114470481872559, | |
| "eval_runtime": 14.3031, | |
| "eval_samples_per_second": 73.411, | |
| "eval_steps_per_second": 9.229, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "grad_norm": 2.8393077850341797, | |
| "learning_rate": 7.42515923566879e-05, | |
| "loss": 0.3319, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "grad_norm": 2.83937668800354, | |
| "learning_rate": 7.393312101910828e-05, | |
| "loss": 0.3182, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "grad_norm": 3.702991008758545, | |
| "learning_rate": 7.361464968152867e-05, | |
| "loss": 0.2819, | |
| "step": 1660 | |
| }, | |
| { | |
| "epoch": 2.68, | |
| "grad_norm": 3.6075496673583984, | |
| "learning_rate": 7.329617834394905e-05, | |
| "loss": 0.2595, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "grad_norm": 5.349125385284424, | |
| "learning_rate": 7.297770700636943e-05, | |
| "loss": 0.2767, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "eval_accuracy": 0.7590476190476191, | |
| "eval_loss": 0.8772222399711609, | |
| "eval_runtime": 14.5323, | |
| "eval_samples_per_second": 72.253, | |
| "eval_steps_per_second": 9.083, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "grad_norm": 5.251324653625488, | |
| "learning_rate": 7.265923566878982e-05, | |
| "loss": 0.281, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "grad_norm": 4.524991989135742, | |
| "learning_rate": 7.23407643312102e-05, | |
| "loss": 0.3164, | |
| "step": 1740 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "grad_norm": 0.386074036359787, | |
| "learning_rate": 7.202229299363057e-05, | |
| "loss": 0.3269, | |
| "step": 1760 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "grad_norm": 6.747868061065674, | |
| "learning_rate": 7.170382165605097e-05, | |
| "loss": 0.2968, | |
| "step": 1780 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "grad_norm": 1.3398292064666748, | |
| "learning_rate": 7.138535031847134e-05, | |
| "loss": 0.3422, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "eval_accuracy": 0.7676190476190476, | |
| "eval_loss": 0.8072260022163391, | |
| "eval_runtime": 14.6204, | |
| "eval_samples_per_second": 71.817, | |
| "eval_steps_per_second": 9.028, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "grad_norm": 6.668325901031494, | |
| "learning_rate": 7.106687898089172e-05, | |
| "loss": 0.2825, | |
| "step": 1820 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "grad_norm": 0.14574064314365387, | |
| "learning_rate": 7.074840764331211e-05, | |
| "loss": 0.2408, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "grad_norm": 7.607251167297363, | |
| "learning_rate": 7.042993630573249e-05, | |
| "loss": 0.3295, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "grad_norm": 0.10143504291772842, | |
| "learning_rate": 7.011146496815287e-05, | |
| "loss": 0.2425, | |
| "step": 1880 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "grad_norm": 9.659887313842773, | |
| "learning_rate": 6.979299363057326e-05, | |
| "loss": 0.2441, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "eval_accuracy": 0.7380952380952381, | |
| "eval_loss": 0.9659485816955566, | |
| "eval_runtime": 14.6043, | |
| "eval_samples_per_second": 71.897, | |
| "eval_steps_per_second": 9.038, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "grad_norm": 0.4748639762401581, | |
| "learning_rate": 6.947452229299364e-05, | |
| "loss": 0.2151, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 3.09, | |
| "grad_norm": 2.329375743865967, | |
| "learning_rate": 6.915605095541401e-05, | |
| "loss": 0.2014, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "grad_norm": 0.08076146245002747, | |
| "learning_rate": 6.88375796178344e-05, | |
| "loss": 0.3039, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "grad_norm": 2.8407723903656006, | |
| "learning_rate": 6.851910828025478e-05, | |
| "loss": 0.2391, | |
| "step": 1980 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "grad_norm": 4.808467388153076, | |
| "learning_rate": 6.820063694267516e-05, | |
| "loss": 0.2438, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "eval_accuracy": 0.7923809523809524, | |
| "eval_loss": 0.7905208468437195, | |
| "eval_runtime": 14.5131, | |
| "eval_samples_per_second": 72.349, | |
| "eval_steps_per_second": 9.095, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "grad_norm": 4.137459754943848, | |
| "learning_rate": 6.788216560509555e-05, | |
| "loss": 0.2438, | |
| "step": 2020 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "grad_norm": 1.3424416780471802, | |
| "learning_rate": 6.756369426751593e-05, | |
| "loss": 0.3438, | |
| "step": 2040 | |
| }, | |
| { | |
| "epoch": 3.28, | |
| "grad_norm": 9.731406211853027, | |
| "learning_rate": 6.724522292993631e-05, | |
| "loss": 0.2893, | |
| "step": 2060 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "grad_norm": 3.4848482608795166, | |
| "learning_rate": 6.69267515923567e-05, | |
| "loss": 0.2532, | |
| "step": 2080 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "grad_norm": 0.2547754943370819, | |
| "learning_rate": 6.660828025477708e-05, | |
| "loss": 0.3925, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "eval_accuracy": 0.7304761904761905, | |
| "eval_loss": 0.9977201819419861, | |
| "eval_runtime": 14.2446, | |
| "eval_samples_per_second": 73.712, | |
| "eval_steps_per_second": 9.267, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "grad_norm": 0.40093258023262024, | |
| "learning_rate": 6.628980891719746e-05, | |
| "loss": 0.2749, | |
| "step": 2120 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "grad_norm": 5.478763103485107, | |
| "learning_rate": 6.597133757961785e-05, | |
| "loss": 0.2362, | |
| "step": 2140 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "grad_norm": 6.652340888977051, | |
| "learning_rate": 6.565286624203822e-05, | |
| "loss": 0.1756, | |
| "step": 2160 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "grad_norm": 0.4871610701084137, | |
| "learning_rate": 6.53343949044586e-05, | |
| "loss": 0.2548, | |
| "step": 2180 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "grad_norm": 0.6913163661956787, | |
| "learning_rate": 6.5015923566879e-05, | |
| "loss": 0.263, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "eval_accuracy": 0.7619047619047619, | |
| "eval_loss": 0.8677366971969604, | |
| "eval_runtime": 14.5691, | |
| "eval_samples_per_second": 72.07, | |
| "eval_steps_per_second": 9.06, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "grad_norm": 4.722912788391113, | |
| "learning_rate": 6.469745222929937e-05, | |
| "loss": 0.2466, | |
| "step": 2220 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "grad_norm": 2.7744407653808594, | |
| "learning_rate": 6.437898089171975e-05, | |
| "loss": 0.2491, | |
| "step": 2240 | |
| }, | |
| { | |
| "epoch": 3.6, | |
| "grad_norm": 2.703162431716919, | |
| "learning_rate": 6.406050955414014e-05, | |
| "loss": 0.1714, | |
| "step": 2260 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "grad_norm": 6.555820941925049, | |
| "learning_rate": 6.374203821656052e-05, | |
| "loss": 0.2594, | |
| "step": 2280 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "grad_norm": 1.9190115928649902, | |
| "learning_rate": 6.34235668789809e-05, | |
| "loss": 0.2585, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "eval_accuracy": 0.7390476190476191, | |
| "eval_loss": 1.0279096364974976, | |
| "eval_runtime": 14.5845, | |
| "eval_samples_per_second": 71.994, | |
| "eval_steps_per_second": 9.051, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 3.69, | |
| "grad_norm": 3.693655252456665, | |
| "learning_rate": 6.310509554140129e-05, | |
| "loss": 0.2109, | |
| "step": 2320 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "grad_norm": 5.748462200164795, | |
| "learning_rate": 6.278662420382167e-05, | |
| "loss": 0.2292, | |
| "step": 2340 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "grad_norm": 5.914999485015869, | |
| "learning_rate": 6.246815286624203e-05, | |
| "loss": 0.3045, | |
| "step": 2360 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "grad_norm": 4.841549873352051, | |
| "learning_rate": 6.214968152866242e-05, | |
| "loss": 0.2512, | |
| "step": 2380 | |
| }, | |
| { | |
| "epoch": 3.82, | |
| "grad_norm": 1.5212379693984985, | |
| "learning_rate": 6.18312101910828e-05, | |
| "loss": 0.2523, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 3.82, | |
| "eval_accuracy": 0.7828571428571428, | |
| "eval_loss": 0.8742047548294067, | |
| "eval_runtime": 14.3756, | |
| "eval_samples_per_second": 73.041, | |
| "eval_steps_per_second": 9.182, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "grad_norm": 5.37538480758667, | |
| "learning_rate": 6.151273885350318e-05, | |
| "loss": 0.2907, | |
| "step": 2420 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "grad_norm": 0.1197693943977356, | |
| "learning_rate": 6.119426751592357e-05, | |
| "loss": 0.166, | |
| "step": 2440 | |
| }, | |
| { | |
| "epoch": 3.92, | |
| "grad_norm": 0.6890983581542969, | |
| "learning_rate": 6.0875796178343946e-05, | |
| "loss": 0.3482, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "grad_norm": 6.912744045257568, | |
| "learning_rate": 6.055732484076433e-05, | |
| "loss": 0.262, | |
| "step": 2480 | |
| }, | |
| { | |
| "epoch": 3.98, | |
| "grad_norm": 5.4778733253479, | |
| "learning_rate": 6.023885350318471e-05, | |
| "loss": 0.2322, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 3.98, | |
| "eval_accuracy": 0.7790476190476191, | |
| "eval_loss": 0.8817368745803833, | |
| "eval_runtime": 14.4036, | |
| "eval_samples_per_second": 72.899, | |
| "eval_steps_per_second": 9.164, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 4.01, | |
| "grad_norm": 1.3964594602584839, | |
| "learning_rate": 5.992038216560509e-05, | |
| "loss": 0.1819, | |
| "step": 2520 | |
| }, | |
| { | |
| "epoch": 4.04, | |
| "grad_norm": 0.07835082709789276, | |
| "learning_rate": 5.960191082802548e-05, | |
| "loss": 0.1875, | |
| "step": 2540 | |
| }, | |
| { | |
| "epoch": 4.08, | |
| "grad_norm": 0.1384442001581192, | |
| "learning_rate": 5.9283439490445855e-05, | |
| "loss": 0.2671, | |
| "step": 2560 | |
| }, | |
| { | |
| "epoch": 4.11, | |
| "grad_norm": 1.913549780845642, | |
| "learning_rate": 5.896496815286624e-05, | |
| "loss": 0.21, | |
| "step": 2580 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "grad_norm": 1.3238245248794556, | |
| "learning_rate": 5.8646496815286624e-05, | |
| "loss": 0.1948, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "eval_accuracy": 0.7847619047619048, | |
| "eval_loss": 0.8387181162834167, | |
| "eval_runtime": 14.398, | |
| "eval_samples_per_second": 72.927, | |
| "eval_steps_per_second": 9.168, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 4.17, | |
| "grad_norm": 4.234366416931152, | |
| "learning_rate": 5.8328025477707e-05, | |
| "loss": 0.1491, | |
| "step": 2620 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "grad_norm": 2.7212390899658203, | |
| "learning_rate": 5.8009554140127386e-05, | |
| "loss": 0.1666, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "grad_norm": 0.8286333680152893, | |
| "learning_rate": 5.769108280254777e-05, | |
| "loss": 0.1682, | |
| "step": 2660 | |
| }, | |
| { | |
| "epoch": 4.27, | |
| "grad_norm": 11.05745792388916, | |
| "learning_rate": 5.737261146496815e-05, | |
| "loss": 0.2116, | |
| "step": 2680 | |
| }, | |
| { | |
| "epoch": 4.3, | |
| "grad_norm": 3.838848352432251, | |
| "learning_rate": 5.705414012738853e-05, | |
| "loss": 0.2318, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 4.3, | |
| "eval_accuracy": 0.7123809523809523, | |
| "eval_loss": 1.1542153358459473, | |
| "eval_runtime": 14.4441, | |
| "eval_samples_per_second": 72.694, | |
| "eval_steps_per_second": 9.139, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 4.33, | |
| "grad_norm": 7.583115100860596, | |
| "learning_rate": 5.673566878980892e-05, | |
| "loss": 0.1891, | |
| "step": 2720 | |
| }, | |
| { | |
| "epoch": 4.36, | |
| "grad_norm": 0.050061825662851334, | |
| "learning_rate": 5.6417197452229296e-05, | |
| "loss": 0.2521, | |
| "step": 2740 | |
| }, | |
| { | |
| "epoch": 4.39, | |
| "grad_norm": 3.531385898590088, | |
| "learning_rate": 5.609872611464968e-05, | |
| "loss": 0.203, | |
| "step": 2760 | |
| }, | |
| { | |
| "epoch": 4.43, | |
| "grad_norm": 0.8870866894721985, | |
| "learning_rate": 5.5780254777070065e-05, | |
| "loss": 0.2052, | |
| "step": 2780 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "grad_norm": 5.210803031921387, | |
| "learning_rate": 5.546178343949044e-05, | |
| "loss": 0.2184, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "eval_accuracy": 0.7152380952380952, | |
| "eval_loss": 1.1386553049087524, | |
| "eval_runtime": 14.4274, | |
| "eval_samples_per_second": 72.778, | |
| "eval_steps_per_second": 9.149, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 4.49, | |
| "grad_norm": 2.6480255126953125, | |
| "learning_rate": 5.514331210191083e-05, | |
| "loss": 0.2484, | |
| "step": 2820 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "grad_norm": 0.11620941758155823, | |
| "learning_rate": 5.482484076433121e-05, | |
| "loss": 0.1871, | |
| "step": 2840 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "grad_norm": 3.393413782119751, | |
| "learning_rate": 5.450636942675159e-05, | |
| "loss": 0.1796, | |
| "step": 2860 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "grad_norm": 2.8002829551696777, | |
| "learning_rate": 5.4187898089171974e-05, | |
| "loss": 0.2563, | |
| "step": 2880 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "grad_norm": 6.208673000335693, | |
| "learning_rate": 5.386942675159236e-05, | |
| "loss": 0.2484, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "eval_accuracy": 0.7247619047619047, | |
| "eval_loss": 1.0976409912109375, | |
| "eval_runtime": 14.3178, | |
| "eval_samples_per_second": 73.335, | |
| "eval_steps_per_second": 9.219, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 4.65, | |
| "grad_norm": 2.2990214824676514, | |
| "learning_rate": 5.3550955414012736e-05, | |
| "loss": 0.1589, | |
| "step": 2920 | |
| }, | |
| { | |
| "epoch": 4.68, | |
| "grad_norm": 3.4065587520599365, | |
| "learning_rate": 5.323248407643312e-05, | |
| "loss": 0.1823, | |
| "step": 2940 | |
| }, | |
| { | |
| "epoch": 4.71, | |
| "grad_norm": 8.64983081817627, | |
| "learning_rate": 5.2914012738853506e-05, | |
| "loss": 0.214, | |
| "step": 2960 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "grad_norm": 0.693291425704956, | |
| "learning_rate": 5.2595541401273883e-05, | |
| "loss": 0.2407, | |
| "step": 2980 | |
| }, | |
| { | |
| "epoch": 4.78, | |
| "grad_norm": 7.287389278411865, | |
| "learning_rate": 5.227707006369427e-05, | |
| "loss": 0.1575, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 4.78, | |
| "eval_accuracy": 0.7457142857142857, | |
| "eval_loss": 1.0477701425552368, | |
| "eval_runtime": 14.492, | |
| "eval_samples_per_second": 72.454, | |
| "eval_steps_per_second": 9.108, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "grad_norm": 5.838592529296875, | |
| "learning_rate": 5.1958598726114646e-05, | |
| "loss": 0.2628, | |
| "step": 3020 | |
| }, | |
| { | |
| "epoch": 4.84, | |
| "grad_norm": 5.59370756149292, | |
| "learning_rate": 5.164012738853503e-05, | |
| "loss": 0.1391, | |
| "step": 3040 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "grad_norm": 1.1490521430969238, | |
| "learning_rate": 5.1321656050955415e-05, | |
| "loss": 0.2392, | |
| "step": 3060 | |
| }, | |
| { | |
| "epoch": 4.9, | |
| "grad_norm": 4.223572731018066, | |
| "learning_rate": 5.100318471337579e-05, | |
| "loss": 0.2346, | |
| "step": 3080 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "grad_norm": 3.0692086219787598, | |
| "learning_rate": 5.068471337579618e-05, | |
| "loss": 0.2028, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "eval_accuracy": 0.7447619047619047, | |
| "eval_loss": 1.0374425649642944, | |
| "eval_runtime": 14.213, | |
| "eval_samples_per_second": 73.876, | |
| "eval_steps_per_second": 9.287, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "grad_norm": 1.3413909673690796, | |
| "learning_rate": 5.036624203821656e-05, | |
| "loss": 0.1113, | |
| "step": 3120 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.1451389044523239, | |
| "learning_rate": 5.004777070063694e-05, | |
| "loss": 0.1797, | |
| "step": 3140 | |
| }, | |
| { | |
| "epoch": 5.03, | |
| "grad_norm": 8.001447677612305, | |
| "learning_rate": 4.9729299363057324e-05, | |
| "loss": 0.1934, | |
| "step": 3160 | |
| }, | |
| { | |
| "epoch": 5.06, | |
| "grad_norm": 3.657029151916504, | |
| "learning_rate": 4.941082802547771e-05, | |
| "loss": 0.2077, | |
| "step": 3180 | |
| }, | |
| { | |
| "epoch": 5.1, | |
| "grad_norm": 0.24746979773044586, | |
| "learning_rate": 4.9092356687898087e-05, | |
| "loss": 0.1173, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 5.1, | |
| "eval_accuracy": 0.7609523809523809, | |
| "eval_loss": 1.0067189931869507, | |
| "eval_runtime": 14.4189, | |
| "eval_samples_per_second": 72.821, | |
| "eval_steps_per_second": 9.155, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 5.13, | |
| "grad_norm": 1.1961082220077515, | |
| "learning_rate": 4.877388535031847e-05, | |
| "loss": 0.2267, | |
| "step": 3220 | |
| }, | |
| { | |
| "epoch": 5.16, | |
| "grad_norm": 6.003686904907227, | |
| "learning_rate": 4.8455414012738856e-05, | |
| "loss": 0.2543, | |
| "step": 3240 | |
| }, | |
| { | |
| "epoch": 5.19, | |
| "grad_norm": 16.887609481811523, | |
| "learning_rate": 4.8136942675159233e-05, | |
| "loss": 0.1849, | |
| "step": 3260 | |
| }, | |
| { | |
| "epoch": 5.22, | |
| "grad_norm": 1.4152742624282837, | |
| "learning_rate": 4.781847133757962e-05, | |
| "loss": 0.2119, | |
| "step": 3280 | |
| }, | |
| { | |
| "epoch": 5.25, | |
| "grad_norm": 1.6081457138061523, | |
| "learning_rate": 4.75e-05, | |
| "loss": 0.1313, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 5.25, | |
| "eval_accuracy": 0.7266666666666667, | |
| "eval_loss": 1.1970884799957275, | |
| "eval_runtime": 14.5245, | |
| "eval_samples_per_second": 72.292, | |
| "eval_steps_per_second": 9.088, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 5.29, | |
| "grad_norm": 19.153751373291016, | |
| "learning_rate": 4.718152866242038e-05, | |
| "loss": 0.2472, | |
| "step": 3320 | |
| }, | |
| { | |
| "epoch": 5.32, | |
| "grad_norm": 4.610495567321777, | |
| "learning_rate": 4.6863057324840765e-05, | |
| "loss": 0.1872, | |
| "step": 3340 | |
| }, | |
| { | |
| "epoch": 5.35, | |
| "grad_norm": 1.8803948163986206, | |
| "learning_rate": 4.654458598726115e-05, | |
| "loss": 0.153, | |
| "step": 3360 | |
| }, | |
| { | |
| "epoch": 5.38, | |
| "grad_norm": 2.9183852672576904, | |
| "learning_rate": 4.622611464968153e-05, | |
| "loss": 0.1024, | |
| "step": 3380 | |
| }, | |
| { | |
| "epoch": 5.41, | |
| "grad_norm": 11.132299423217773, | |
| "learning_rate": 4.590764331210191e-05, | |
| "loss": 0.2142, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 5.41, | |
| "eval_accuracy": 0.74, | |
| "eval_loss": 1.1455038785934448, | |
| "eval_runtime": 13.999, | |
| "eval_samples_per_second": 75.006, | |
| "eval_steps_per_second": 9.429, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 5.45, | |
| "grad_norm": 0.15127496421337128, | |
| "learning_rate": 4.5589171974522296e-05, | |
| "loss": 0.1674, | |
| "step": 3420 | |
| }, | |
| { | |
| "epoch": 5.48, | |
| "grad_norm": 4.990033149719238, | |
| "learning_rate": 4.5270700636942674e-05, | |
| "loss": 0.1906, | |
| "step": 3440 | |
| }, | |
| { | |
| "epoch": 5.51, | |
| "grad_norm": 4.008519649505615, | |
| "learning_rate": 4.495222929936306e-05, | |
| "loss": 0.1497, | |
| "step": 3460 | |
| }, | |
| { | |
| "epoch": 5.54, | |
| "grad_norm": 1.5550432205200195, | |
| "learning_rate": 4.4633757961783443e-05, | |
| "loss": 0.1006, | |
| "step": 3480 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "grad_norm": 0.13081075251102448, | |
| "learning_rate": 4.431528662420382e-05, | |
| "loss": 0.1302, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "eval_accuracy": 0.7628571428571429, | |
| "eval_loss": 1.0319159030914307, | |
| "eval_runtime": 14.3106, | |
| "eval_samples_per_second": 73.372, | |
| "eval_steps_per_second": 9.224, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 5.61, | |
| "grad_norm": 4.138894081115723, | |
| "learning_rate": 4.3996815286624206e-05, | |
| "loss": 0.1988, | |
| "step": 3520 | |
| }, | |
| { | |
| "epoch": 5.64, | |
| "grad_norm": 0.9299852848052979, | |
| "learning_rate": 4.3678343949044584e-05, | |
| "loss": 0.1264, | |
| "step": 3540 | |
| }, | |
| { | |
| "epoch": 5.67, | |
| "grad_norm": 0.05426739901304245, | |
| "learning_rate": 4.335987261146497e-05, | |
| "loss": 0.184, | |
| "step": 3560 | |
| }, | |
| { | |
| "epoch": 5.7, | |
| "grad_norm": 0.8005551695823669, | |
| "learning_rate": 4.304140127388535e-05, | |
| "loss": 0.1535, | |
| "step": 3580 | |
| }, | |
| { | |
| "epoch": 5.73, | |
| "grad_norm": 6.299161911010742, | |
| "learning_rate": 4.272292993630573e-05, | |
| "loss": 0.2193, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 5.73, | |
| "eval_accuracy": 0.7733333333333333, | |
| "eval_loss": 0.9745522141456604, | |
| "eval_runtime": 14.4492, | |
| "eval_samples_per_second": 72.669, | |
| "eval_steps_per_second": 9.135, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 5.76, | |
| "grad_norm": 5.8440937995910645, | |
| "learning_rate": 4.2404458598726115e-05, | |
| "loss": 0.2346, | |
| "step": 3620 | |
| }, | |
| { | |
| "epoch": 5.8, | |
| "grad_norm": 0.3318318724632263, | |
| "learning_rate": 4.20859872611465e-05, | |
| "loss": 0.2378, | |
| "step": 3640 | |
| }, | |
| { | |
| "epoch": 5.83, | |
| "grad_norm": 6.423093318939209, | |
| "learning_rate": 4.176751592356688e-05, | |
| "loss": 0.2194, | |
| "step": 3660 | |
| }, | |
| { | |
| "epoch": 5.86, | |
| "grad_norm": 1.1782708168029785, | |
| "learning_rate": 4.144904458598726e-05, | |
| "loss": 0.2442, | |
| "step": 3680 | |
| }, | |
| { | |
| "epoch": 5.89, | |
| "grad_norm": 4.644681930541992, | |
| "learning_rate": 4.1130573248407647e-05, | |
| "loss": 0.1778, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 5.89, | |
| "eval_accuracy": 0.7552380952380953, | |
| "eval_loss": 1.0206609964370728, | |
| "eval_runtime": 14.406, | |
| "eval_samples_per_second": 72.886, | |
| "eval_steps_per_second": 9.163, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 5.92, | |
| "grad_norm": 2.935955762863159, | |
| "learning_rate": 4.0812101910828024e-05, | |
| "loss": 0.2641, | |
| "step": 3720 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "grad_norm": 12.24996566772461, | |
| "learning_rate": 4.049363057324841e-05, | |
| "loss": 0.2185, | |
| "step": 3740 | |
| }, | |
| { | |
| "epoch": 5.99, | |
| "grad_norm": 4.923351287841797, | |
| "learning_rate": 4.0175159235668793e-05, | |
| "loss": 0.1169, | |
| "step": 3760 | |
| }, | |
| { | |
| "epoch": 6.02, | |
| "grad_norm": 3.076030731201172, | |
| "learning_rate": 3.985668789808917e-05, | |
| "loss": 0.1629, | |
| "step": 3780 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "grad_norm": 1.7281866073608398, | |
| "learning_rate": 3.9538216560509556e-05, | |
| "loss": 0.1003, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "eval_accuracy": 0.7638095238095238, | |
| "eval_loss": 1.0537958145141602, | |
| "eval_runtime": 14.4611, | |
| "eval_samples_per_second": 72.609, | |
| "eval_steps_per_second": 9.128, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 6.08, | |
| "grad_norm": 4.985991477966309, | |
| "learning_rate": 3.921974522292994e-05, | |
| "loss": 0.1808, | |
| "step": 3820 | |
| }, | |
| { | |
| "epoch": 6.11, | |
| "grad_norm": 0.1005251556634903, | |
| "learning_rate": 3.890127388535032e-05, | |
| "loss": 0.1514, | |
| "step": 3840 | |
| }, | |
| { | |
| "epoch": 6.15, | |
| "grad_norm": 4.247957706451416, | |
| "learning_rate": 3.85828025477707e-05, | |
| "loss": 0.1823, | |
| "step": 3860 | |
| }, | |
| { | |
| "epoch": 6.18, | |
| "grad_norm": 4.05401611328125, | |
| "learning_rate": 3.8280254777070066e-05, | |
| "loss": 0.1412, | |
| "step": 3880 | |
| }, | |
| { | |
| "epoch": 6.21, | |
| "grad_norm": 0.09717115759849548, | |
| "learning_rate": 3.796178343949045e-05, | |
| "loss": 0.1644, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 6.21, | |
| "eval_accuracy": 0.7304761904761905, | |
| "eval_loss": 1.1832480430603027, | |
| "eval_runtime": 14.3128, | |
| "eval_samples_per_second": 73.361, | |
| "eval_steps_per_second": 9.222, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 6.24, | |
| "grad_norm": 6.105861663818359, | |
| "learning_rate": 3.7643312101910836e-05, | |
| "loss": 0.2253, | |
| "step": 3920 | |
| }, | |
| { | |
| "epoch": 6.27, | |
| "grad_norm": 0.2512984573841095, | |
| "learning_rate": 3.7324840764331207e-05, | |
| "loss": 0.1698, | |
| "step": 3940 | |
| }, | |
| { | |
| "epoch": 6.31, | |
| "grad_norm": 0.045377813279628754, | |
| "learning_rate": 3.700636942675159e-05, | |
| "loss": 0.1442, | |
| "step": 3960 | |
| }, | |
| { | |
| "epoch": 6.34, | |
| "grad_norm": 8.247663497924805, | |
| "learning_rate": 3.6687898089171976e-05, | |
| "loss": 0.1449, | |
| "step": 3980 | |
| }, | |
| { | |
| "epoch": 6.37, | |
| "grad_norm": 10.677542686462402, | |
| "learning_rate": 3.6369426751592353e-05, | |
| "loss": 0.1843, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 6.37, | |
| "eval_accuracy": 0.7495238095238095, | |
| "eval_loss": 1.081445336341858, | |
| "eval_runtime": 14.074, | |
| "eval_samples_per_second": 74.605, | |
| "eval_steps_per_second": 9.379, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 6.4, | |
| "grad_norm": 1.8205310106277466, | |
| "learning_rate": 3.605095541401274e-05, | |
| "loss": 0.1621, | |
| "step": 4020 | |
| }, | |
| { | |
| "epoch": 6.43, | |
| "grad_norm": 4.124607086181641, | |
| "learning_rate": 3.573248407643312e-05, | |
| "loss": 0.1634, | |
| "step": 4040 | |
| }, | |
| { | |
| "epoch": 6.46, | |
| "grad_norm": 0.3355584442615509, | |
| "learning_rate": 3.54140127388535e-05, | |
| "loss": 0.2083, | |
| "step": 4060 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "grad_norm": 0.12367378920316696, | |
| "learning_rate": 3.5095541401273885e-05, | |
| "loss": 0.148, | |
| "step": 4080 | |
| }, | |
| { | |
| "epoch": 6.53, | |
| "grad_norm": 0.021049553528428078, | |
| "learning_rate": 3.477707006369427e-05, | |
| "loss": 0.129, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 6.53, | |
| "eval_accuracy": 0.72, | |
| "eval_loss": 1.247863531112671, | |
| "eval_runtime": 14.2349, | |
| "eval_samples_per_second": 73.762, | |
| "eval_steps_per_second": 9.273, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 6.56, | |
| "grad_norm": 1.4821038246154785, | |
| "learning_rate": 3.445859872611465e-05, | |
| "loss": 0.1379, | |
| "step": 4120 | |
| }, | |
| { | |
| "epoch": 6.59, | |
| "grad_norm": 2.6189982891082764, | |
| "learning_rate": 3.414012738853503e-05, | |
| "loss": 0.1667, | |
| "step": 4140 | |
| }, | |
| { | |
| "epoch": 6.62, | |
| "grad_norm": 1.175626516342163, | |
| "learning_rate": 3.3821656050955416e-05, | |
| "loss": 0.2009, | |
| "step": 4160 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "grad_norm": 5.35676908493042, | |
| "learning_rate": 3.3503184713375794e-05, | |
| "loss": 0.1821, | |
| "step": 4180 | |
| }, | |
| { | |
| "epoch": 6.69, | |
| "grad_norm": 2.7101659774780273, | |
| "learning_rate": 3.318471337579618e-05, | |
| "loss": 0.17, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 6.69, | |
| "eval_accuracy": 0.741904761904762, | |
| "eval_loss": 1.1575206518173218, | |
| "eval_runtime": 14.4135, | |
| "eval_samples_per_second": 72.848, | |
| "eval_steps_per_second": 9.158, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 6.72, | |
| "grad_norm": 4.070112705230713, | |
| "learning_rate": 3.286624203821656e-05, | |
| "loss": 0.2064, | |
| "step": 4220 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "grad_norm": 0.4738242030143738, | |
| "learning_rate": 3.254777070063694e-05, | |
| "loss": 0.1836, | |
| "step": 4240 | |
| }, | |
| { | |
| "epoch": 6.78, | |
| "grad_norm": 6.459200859069824, | |
| "learning_rate": 3.2229299363057326e-05, | |
| "loss": 0.1277, | |
| "step": 4260 | |
| }, | |
| { | |
| "epoch": 6.82, | |
| "grad_norm": 4.038717746734619, | |
| "learning_rate": 3.191082802547771e-05, | |
| "loss": 0.1903, | |
| "step": 4280 | |
| }, | |
| { | |
| "epoch": 6.85, | |
| "grad_norm": 1.6985381841659546, | |
| "learning_rate": 3.159235668789809e-05, | |
| "loss": 0.2184, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 6.85, | |
| "eval_accuracy": 0.7561904761904762, | |
| "eval_loss": 1.0945791006088257, | |
| "eval_runtime": 14.3853, | |
| "eval_samples_per_second": 72.991, | |
| "eval_steps_per_second": 9.176, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "grad_norm": 1.8890398740768433, | |
| "learning_rate": 3.127388535031847e-05, | |
| "loss": 0.1224, | |
| "step": 4320 | |
| }, | |
| { | |
| "epoch": 6.91, | |
| "grad_norm": 5.5975799560546875, | |
| "learning_rate": 3.095541401273885e-05, | |
| "loss": 0.1936, | |
| "step": 4340 | |
| }, | |
| { | |
| "epoch": 6.94, | |
| "grad_norm": 0.805150032043457, | |
| "learning_rate": 3.0636942675159235e-05, | |
| "loss": 0.1103, | |
| "step": 4360 | |
| }, | |
| { | |
| "epoch": 6.97, | |
| "grad_norm": 6.093379020690918, | |
| "learning_rate": 3.031847133757962e-05, | |
| "loss": 0.1666, | |
| "step": 4380 | |
| }, | |
| { | |
| "epoch": 7.01, | |
| "grad_norm": 0.4640253484249115, | |
| "learning_rate": 3e-05, | |
| "loss": 0.1506, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 7.01, | |
| "eval_accuracy": 0.7714285714285715, | |
| "eval_loss": 1.0580005645751953, | |
| "eval_runtime": 14.4045, | |
| "eval_samples_per_second": 72.894, | |
| "eval_steps_per_second": 9.164, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 7.04, | |
| "grad_norm": 0.06945107132196426, | |
| "learning_rate": 2.9681528662420382e-05, | |
| "loss": 0.1537, | |
| "step": 4420 | |
| }, | |
| { | |
| "epoch": 7.07, | |
| "grad_norm": 1.686673879623413, | |
| "learning_rate": 2.9363057324840763e-05, | |
| "loss": 0.1661, | |
| "step": 4440 | |
| }, | |
| { | |
| "epoch": 7.1, | |
| "grad_norm": 3.4670166969299316, | |
| "learning_rate": 2.9044585987261148e-05, | |
| "loss": 0.1128, | |
| "step": 4460 | |
| }, | |
| { | |
| "epoch": 7.13, | |
| "grad_norm": 3.8089122772216797, | |
| "learning_rate": 2.872611464968153e-05, | |
| "loss": 0.1505, | |
| "step": 4480 | |
| }, | |
| { | |
| "epoch": 7.17, | |
| "grad_norm": 0.22587546706199646, | |
| "learning_rate": 2.840764331210191e-05, | |
| "loss": 0.1099, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 7.17, | |
| "eval_accuracy": 0.7638095238095238, | |
| "eval_loss": 1.0479028224945068, | |
| "eval_runtime": 14.3476, | |
| "eval_samples_per_second": 73.183, | |
| "eval_steps_per_second": 9.2, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 7.2, | |
| "grad_norm": 0.4526523947715759, | |
| "learning_rate": 2.8089171974522295e-05, | |
| "loss": 0.0994, | |
| "step": 4520 | |
| }, | |
| { | |
| "epoch": 7.23, | |
| "grad_norm": 2.4940195083618164, | |
| "learning_rate": 2.7770700636942676e-05, | |
| "loss": 0.1098, | |
| "step": 4540 | |
| }, | |
| { | |
| "epoch": 7.26, | |
| "grad_norm": 1.7795358896255493, | |
| "learning_rate": 2.7452229299363057e-05, | |
| "loss": 0.1648, | |
| "step": 4560 | |
| }, | |
| { | |
| "epoch": 7.29, | |
| "grad_norm": 8.93464469909668, | |
| "learning_rate": 2.713375796178344e-05, | |
| "loss": 0.151, | |
| "step": 4580 | |
| }, | |
| { | |
| "epoch": 7.32, | |
| "grad_norm": 0.04857097566127777, | |
| "learning_rate": 2.6815286624203823e-05, | |
| "loss": 0.1226, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 7.32, | |
| "eval_accuracy": 0.7495238095238095, | |
| "eval_loss": 1.1306982040405273, | |
| "eval_runtime": 14.3492, | |
| "eval_samples_per_second": 73.175, | |
| "eval_steps_per_second": 9.199, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 7.36, | |
| "grad_norm": 1.8932238817214966, | |
| "learning_rate": 2.6496815286624204e-05, | |
| "loss": 0.1225, | |
| "step": 4620 | |
| }, | |
| { | |
| "epoch": 7.39, | |
| "grad_norm": 10.580707550048828, | |
| "learning_rate": 2.617834394904459e-05, | |
| "loss": 0.1567, | |
| "step": 4640 | |
| }, | |
| { | |
| "epoch": 7.42, | |
| "grad_norm": 0.38718360662460327, | |
| "learning_rate": 2.585987261146497e-05, | |
| "loss": 0.1251, | |
| "step": 4660 | |
| }, | |
| { | |
| "epoch": 7.45, | |
| "grad_norm": 9.657524108886719, | |
| "learning_rate": 2.554140127388535e-05, | |
| "loss": 0.1076, | |
| "step": 4680 | |
| }, | |
| { | |
| "epoch": 7.48, | |
| "grad_norm": 0.019253961741924286, | |
| "learning_rate": 2.5222929936305732e-05, | |
| "loss": 0.2122, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 7.48, | |
| "eval_accuracy": 0.7285714285714285, | |
| "eval_loss": 1.2837932109832764, | |
| "eval_runtime": 14.1311, | |
| "eval_samples_per_second": 74.304, | |
| "eval_steps_per_second": 9.341, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 7.52, | |
| "grad_norm": 0.8583599925041199, | |
| "learning_rate": 2.4904458598726117e-05, | |
| "loss": 0.1148, | |
| "step": 4720 | |
| }, | |
| { | |
| "epoch": 7.55, | |
| "grad_norm": 0.6162470579147339, | |
| "learning_rate": 2.4585987261146498e-05, | |
| "loss": 0.1698, | |
| "step": 4740 | |
| }, | |
| { | |
| "epoch": 7.58, | |
| "grad_norm": 0.9160044193267822, | |
| "learning_rate": 2.426751592356688e-05, | |
| "loss": 0.0871, | |
| "step": 4760 | |
| }, | |
| { | |
| "epoch": 7.61, | |
| "grad_norm": 0.59488445520401, | |
| "learning_rate": 2.3949044585987263e-05, | |
| "loss": 0.1455, | |
| "step": 4780 | |
| }, | |
| { | |
| "epoch": 7.64, | |
| "grad_norm": 18.75020980834961, | |
| "learning_rate": 2.3630573248407645e-05, | |
| "loss": 0.1565, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 7.64, | |
| "eval_accuracy": 0.7390476190476191, | |
| "eval_loss": 1.2039564847946167, | |
| "eval_runtime": 14.3722, | |
| "eval_samples_per_second": 73.058, | |
| "eval_steps_per_second": 9.184, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 7.68, | |
| "grad_norm": 0.011890099383890629, | |
| "learning_rate": 2.3312101910828026e-05, | |
| "loss": 0.0881, | |
| "step": 4820 | |
| }, | |
| { | |
| "epoch": 7.71, | |
| "grad_norm": 2.5114028453826904, | |
| "learning_rate": 2.299363057324841e-05, | |
| "loss": 0.1385, | |
| "step": 4840 | |
| }, | |
| { | |
| "epoch": 7.74, | |
| "grad_norm": 0.410961389541626, | |
| "learning_rate": 2.267515923566879e-05, | |
| "loss": 0.1422, | |
| "step": 4860 | |
| }, | |
| { | |
| "epoch": 7.77, | |
| "grad_norm": 0.022722242400050163, | |
| "learning_rate": 2.2356687898089173e-05, | |
| "loss": 0.1176, | |
| "step": 4880 | |
| }, | |
| { | |
| "epoch": 7.8, | |
| "grad_norm": 0.026792345568537712, | |
| "learning_rate": 2.2038216560509557e-05, | |
| "loss": 0.151, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 7.8, | |
| "eval_accuracy": 0.7428571428571429, | |
| "eval_loss": 1.2361027002334595, | |
| "eval_runtime": 14.3298, | |
| "eval_samples_per_second": 73.274, | |
| "eval_steps_per_second": 9.212, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 7.83, | |
| "grad_norm": 5.774230480194092, | |
| "learning_rate": 2.171974522292994e-05, | |
| "loss": 0.1663, | |
| "step": 4920 | |
| }, | |
| { | |
| "epoch": 7.87, | |
| "grad_norm": 0.011655393987894058, | |
| "learning_rate": 2.140127388535032e-05, | |
| "loss": 0.1085, | |
| "step": 4940 | |
| }, | |
| { | |
| "epoch": 7.9, | |
| "grad_norm": 2.6619997024536133, | |
| "learning_rate": 2.10828025477707e-05, | |
| "loss": 0.115, | |
| "step": 4960 | |
| }, | |
| { | |
| "epoch": 7.93, | |
| "grad_norm": 6.465090274810791, | |
| "learning_rate": 2.0764331210191085e-05, | |
| "loss": 0.1723, | |
| "step": 4980 | |
| }, | |
| { | |
| "epoch": 7.96, | |
| "grad_norm": 8.653176307678223, | |
| "learning_rate": 2.0445859872611467e-05, | |
| "loss": 0.0934, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 7.96, | |
| "eval_accuracy": 0.7457142857142857, | |
| "eval_loss": 1.198464274406433, | |
| "eval_runtime": 14.2409, | |
| "eval_samples_per_second": 73.731, | |
| "eval_steps_per_second": 9.269, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 7.99, | |
| "grad_norm": 4.535229206085205, | |
| "learning_rate": 2.0127388535031848e-05, | |
| "loss": 0.1456, | |
| "step": 5020 | |
| }, | |
| { | |
| "epoch": 8.03, | |
| "grad_norm": 11.831160545349121, | |
| "learning_rate": 1.9808917197452232e-05, | |
| "loss": 0.1115, | |
| "step": 5040 | |
| }, | |
| { | |
| "epoch": 8.06, | |
| "grad_norm": 8.955262184143066, | |
| "learning_rate": 1.9490445859872614e-05, | |
| "loss": 0.1298, | |
| "step": 5060 | |
| }, | |
| { | |
| "epoch": 8.09, | |
| "grad_norm": 5.660279273986816, | |
| "learning_rate": 1.9171974522292995e-05, | |
| "loss": 0.1849, | |
| "step": 5080 | |
| }, | |
| { | |
| "epoch": 8.12, | |
| "grad_norm": 6.7122087478637695, | |
| "learning_rate": 1.885350318471338e-05, | |
| "loss": 0.1374, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 8.12, | |
| "eval_accuracy": 0.7495238095238095, | |
| "eval_loss": 1.136474370956421, | |
| "eval_runtime": 14.3605, | |
| "eval_samples_per_second": 73.117, | |
| "eval_steps_per_second": 9.192, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 8.15, | |
| "grad_norm": 0.83880215883255, | |
| "learning_rate": 1.8535031847133757e-05, | |
| "loss": 0.1406, | |
| "step": 5120 | |
| }, | |
| { | |
| "epoch": 8.18, | |
| "grad_norm": 7.110737323760986, | |
| "learning_rate": 1.8216560509554138e-05, | |
| "loss": 0.1445, | |
| "step": 5140 | |
| }, | |
| { | |
| "epoch": 8.22, | |
| "grad_norm": 3.224792242050171, | |
| "learning_rate": 1.7898089171974523e-05, | |
| "loss": 0.1951, | |
| "step": 5160 | |
| }, | |
| { | |
| "epoch": 8.25, | |
| "grad_norm": 1.4524933099746704, | |
| "learning_rate": 1.7579617834394904e-05, | |
| "loss": 0.1013, | |
| "step": 5180 | |
| }, | |
| { | |
| "epoch": 8.28, | |
| "grad_norm": 5.544615268707275, | |
| "learning_rate": 1.7261146496815285e-05, | |
| "loss": 0.1799, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 8.28, | |
| "eval_accuracy": 0.758095238095238, | |
| "eval_loss": 1.1371468305587769, | |
| "eval_runtime": 14.4095, | |
| "eval_samples_per_second": 72.869, | |
| "eval_steps_per_second": 9.161, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 8.31, | |
| "grad_norm": 0.4378151297569275, | |
| "learning_rate": 1.694267515923567e-05, | |
| "loss": 0.156, | |
| "step": 5220 | |
| }, | |
| { | |
| "epoch": 8.34, | |
| "grad_norm": 4.541534423828125, | |
| "learning_rate": 1.662420382165605e-05, | |
| "loss": 0.1158, | |
| "step": 5240 | |
| }, | |
| { | |
| "epoch": 8.38, | |
| "grad_norm": 0.01598621904850006, | |
| "learning_rate": 1.6305732484076432e-05, | |
| "loss": 0.1636, | |
| "step": 5260 | |
| }, | |
| { | |
| "epoch": 8.41, | |
| "grad_norm": 0.15167254209518433, | |
| "learning_rate": 1.5987261146496817e-05, | |
| "loss": 0.0819, | |
| "step": 5280 | |
| }, | |
| { | |
| "epoch": 8.44, | |
| "grad_norm": 2.8723442554473877, | |
| "learning_rate": 1.5668789808917198e-05, | |
| "loss": 0.1496, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 8.44, | |
| "eval_accuracy": 0.7428571428571429, | |
| "eval_loss": 1.1775193214416504, | |
| "eval_runtime": 14.1642, | |
| "eval_samples_per_second": 74.13, | |
| "eval_steps_per_second": 9.319, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 8.47, | |
| "grad_norm": 5.163817405700684, | |
| "learning_rate": 1.535031847133758e-05, | |
| "loss": 0.126, | |
| "step": 5320 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "grad_norm": 7.263587474822998, | |
| "learning_rate": 1.5031847133757962e-05, | |
| "loss": 0.1124, | |
| "step": 5340 | |
| }, | |
| { | |
| "epoch": 8.54, | |
| "grad_norm": 0.11626210063695908, | |
| "learning_rate": 1.4713375796178345e-05, | |
| "loss": 0.1274, | |
| "step": 5360 | |
| }, | |
| { | |
| "epoch": 8.57, | |
| "grad_norm": 0.1953892856836319, | |
| "learning_rate": 1.4394904458598726e-05, | |
| "loss": 0.0721, | |
| "step": 5380 | |
| }, | |
| { | |
| "epoch": 8.6, | |
| "grad_norm": 4.252742290496826, | |
| "learning_rate": 1.4076433121019109e-05, | |
| "loss": 0.0804, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 8.6, | |
| "eval_accuracy": 0.7561904761904762, | |
| "eval_loss": 1.1278163194656372, | |
| "eval_runtime": 14.271, | |
| "eval_samples_per_second": 73.576, | |
| "eval_steps_per_second": 9.25, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 8.63, | |
| "grad_norm": 0.10082034021615982, | |
| "learning_rate": 1.375796178343949e-05, | |
| "loss": 0.1376, | |
| "step": 5420 | |
| }, | |
| { | |
| "epoch": 8.66, | |
| "grad_norm": 0.05313138663768768, | |
| "learning_rate": 1.3439490445859873e-05, | |
| "loss": 0.0992, | |
| "step": 5440 | |
| }, | |
| { | |
| "epoch": 8.69, | |
| "grad_norm": 3.8297231197357178, | |
| "learning_rate": 1.3121019108280256e-05, | |
| "loss": 0.1511, | |
| "step": 5460 | |
| }, | |
| { | |
| "epoch": 8.73, | |
| "grad_norm": 3.4488308429718018, | |
| "learning_rate": 1.2802547770700637e-05, | |
| "loss": 0.1603, | |
| "step": 5480 | |
| }, | |
| { | |
| "epoch": 8.76, | |
| "grad_norm": 1.6856378316879272, | |
| "learning_rate": 1.248407643312102e-05, | |
| "loss": 0.12, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 8.76, | |
| "eval_accuracy": 0.7533333333333333, | |
| "eval_loss": 1.1209964752197266, | |
| "eval_runtime": 14.1604, | |
| "eval_samples_per_second": 74.15, | |
| "eval_steps_per_second": 9.322, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 8.79, | |
| "grad_norm": 3.3723340034484863, | |
| "learning_rate": 1.2165605095541403e-05, | |
| "loss": 0.0811, | |
| "step": 5520 | |
| }, | |
| { | |
| "epoch": 8.82, | |
| "grad_norm": 4.700990676879883, | |
| "learning_rate": 1.1847133757961784e-05, | |
| "loss": 0.0977, | |
| "step": 5540 | |
| }, | |
| { | |
| "epoch": 8.85, | |
| "grad_norm": 2.095137596130371, | |
| "learning_rate": 1.1528662420382167e-05, | |
| "loss": 0.0514, | |
| "step": 5560 | |
| }, | |
| { | |
| "epoch": 8.89, | |
| "grad_norm": 0.014027014374732971, | |
| "learning_rate": 1.1210191082802548e-05, | |
| "loss": 0.1034, | |
| "step": 5580 | |
| }, | |
| { | |
| "epoch": 8.92, | |
| "grad_norm": 1.6214849948883057, | |
| "learning_rate": 1.089171974522293e-05, | |
| "loss": 0.099, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 8.92, | |
| "eval_accuracy": 0.7485714285714286, | |
| "eval_loss": 1.1295264959335327, | |
| "eval_runtime": 14.482, | |
| "eval_samples_per_second": 72.504, | |
| "eval_steps_per_second": 9.115, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 8.95, | |
| "grad_norm": 1.0302766561508179, | |
| "learning_rate": 1.0573248407643314e-05, | |
| "loss": 0.0755, | |
| "step": 5620 | |
| }, | |
| { | |
| "epoch": 8.98, | |
| "grad_norm": 3.192128896713257, | |
| "learning_rate": 1.0254777070063695e-05, | |
| "loss": 0.0791, | |
| "step": 5640 | |
| }, | |
| { | |
| "epoch": 9.01, | |
| "grad_norm": 4.739717960357666, | |
| "learning_rate": 9.936305732484078e-06, | |
| "loss": 0.1346, | |
| "step": 5660 | |
| }, | |
| { | |
| "epoch": 9.04, | |
| "grad_norm": 0.05003926530480385, | |
| "learning_rate": 9.617834394904459e-06, | |
| "loss": 0.0694, | |
| "step": 5680 | |
| }, | |
| { | |
| "epoch": 9.08, | |
| "grad_norm": 1.395236611366272, | |
| "learning_rate": 9.29936305732484e-06, | |
| "loss": 0.1429, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 9.08, | |
| "eval_accuracy": 0.7390476190476191, | |
| "eval_loss": 1.207868218421936, | |
| "eval_runtime": 14.2527, | |
| "eval_samples_per_second": 73.67, | |
| "eval_steps_per_second": 9.261, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 9.11, | |
| "grad_norm": 4.653144836425781, | |
| "learning_rate": 8.980891719745223e-06, | |
| "loss": 0.1111, | |
| "step": 5720 | |
| }, | |
| { | |
| "epoch": 9.14, | |
| "grad_norm": 12.179301261901855, | |
| "learning_rate": 8.662420382165604e-06, | |
| "loss": 0.0931, | |
| "step": 5740 | |
| }, | |
| { | |
| "epoch": 9.17, | |
| "grad_norm": 5.497566223144531, | |
| "learning_rate": 8.343949044585987e-06, | |
| "loss": 0.1509, | |
| "step": 5760 | |
| }, | |
| { | |
| "epoch": 9.2, | |
| "grad_norm": 4.653054237365723, | |
| "learning_rate": 8.02547770700637e-06, | |
| "loss": 0.1349, | |
| "step": 5780 | |
| }, | |
| { | |
| "epoch": 9.24, | |
| "grad_norm": 4.78197717666626, | |
| "learning_rate": 7.707006369426751e-06, | |
| "loss": 0.0959, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 9.24, | |
| "eval_accuracy": 0.7476190476190476, | |
| "eval_loss": 1.1450541019439697, | |
| "eval_runtime": 14.2174, | |
| "eval_samples_per_second": 73.853, | |
| "eval_steps_per_second": 9.284, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 9.27, | |
| "grad_norm": 0.03227326646447182, | |
| "learning_rate": 7.388535031847134e-06, | |
| "loss": 0.135, | |
| "step": 5820 | |
| }, | |
| { | |
| "epoch": 9.3, | |
| "grad_norm": 0.03949011489748955, | |
| "learning_rate": 7.070063694267516e-06, | |
| "loss": 0.1352, | |
| "step": 5840 | |
| }, | |
| { | |
| "epoch": 9.33, | |
| "grad_norm": 0.12604393064975739, | |
| "learning_rate": 6.751592356687898e-06, | |
| "loss": 0.0613, | |
| "step": 5860 | |
| }, | |
| { | |
| "epoch": 9.36, | |
| "grad_norm": 3.415341377258301, | |
| "learning_rate": 6.433121019108281e-06, | |
| "loss": 0.1164, | |
| "step": 5880 | |
| }, | |
| { | |
| "epoch": 9.39, | |
| "grad_norm": 0.011540273204445839, | |
| "learning_rate": 6.114649681528663e-06, | |
| "loss": 0.0263, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 9.39, | |
| "eval_accuracy": 0.7514285714285714, | |
| "eval_loss": 1.117615818977356, | |
| "eval_runtime": 14.3543, | |
| "eval_samples_per_second": 73.149, | |
| "eval_steps_per_second": 9.196, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 9.43, | |
| "grad_norm": 1.7297450304031372, | |
| "learning_rate": 5.796178343949045e-06, | |
| "loss": 0.1058, | |
| "step": 5920 | |
| }, | |
| { | |
| "epoch": 9.46, | |
| "grad_norm": 0.2807926833629608, | |
| "learning_rate": 5.477707006369427e-06, | |
| "loss": 0.1072, | |
| "step": 5940 | |
| }, | |
| { | |
| "epoch": 9.49, | |
| "grad_norm": 4.0545244216918945, | |
| "learning_rate": 5.15923566878981e-06, | |
| "loss": 0.1031, | |
| "step": 5960 | |
| }, | |
| { | |
| "epoch": 9.52, | |
| "grad_norm": 7.815937042236328, | |
| "learning_rate": 4.840764331210192e-06, | |
| "loss": 0.0962, | |
| "step": 5980 | |
| }, | |
| { | |
| "epoch": 9.55, | |
| "grad_norm": 12.278979301452637, | |
| "learning_rate": 4.522292993630573e-06, | |
| "loss": 0.0936, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 9.55, | |
| "eval_accuracy": 0.7533333333333333, | |
| "eval_loss": 1.1178562641143799, | |
| "eval_runtime": 14.5366, | |
| "eval_samples_per_second": 72.231, | |
| "eval_steps_per_second": 9.081, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 9.59, | |
| "grad_norm": 0.06204557418823242, | |
| "learning_rate": 4.203821656050955e-06, | |
| "loss": 0.1101, | |
| "step": 6020 | |
| }, | |
| { | |
| "epoch": 9.62, | |
| "grad_norm": 0.023558788001537323, | |
| "learning_rate": 3.885350318471338e-06, | |
| "loss": 0.0556, | |
| "step": 6040 | |
| }, | |
| { | |
| "epoch": 9.65, | |
| "grad_norm": 0.07364491373300552, | |
| "learning_rate": 3.56687898089172e-06, | |
| "loss": 0.1003, | |
| "step": 6060 | |
| }, | |
| { | |
| "epoch": 9.68, | |
| "grad_norm": 2.476426839828491, | |
| "learning_rate": 3.248407643312102e-06, | |
| "loss": 0.1278, | |
| "step": 6080 | |
| }, | |
| { | |
| "epoch": 9.71, | |
| "grad_norm": 0.04320213571190834, | |
| "learning_rate": 2.9299363057324844e-06, | |
| "loss": 0.1332, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 9.71, | |
| "eval_accuracy": 0.7485714285714286, | |
| "eval_loss": 1.1386895179748535, | |
| "eval_runtime": 14.088, | |
| "eval_samples_per_second": 74.532, | |
| "eval_steps_per_second": 9.37, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 9.75, | |
| "grad_norm": 3.164142608642578, | |
| "learning_rate": 2.6114649681528665e-06, | |
| "loss": 0.1016, | |
| "step": 6120 | |
| }, | |
| { | |
| "epoch": 9.78, | |
| "grad_norm": 1.9194905757904053, | |
| "learning_rate": 2.2929936305732485e-06, | |
| "loss": 0.0907, | |
| "step": 6140 | |
| }, | |
| { | |
| "epoch": 9.81, | |
| "grad_norm": 6.227757930755615, | |
| "learning_rate": 1.9745222929936305e-06, | |
| "loss": 0.1274, | |
| "step": 6160 | |
| }, | |
| { | |
| "epoch": 9.84, | |
| "grad_norm": 0.11668018996715546, | |
| "learning_rate": 1.6560509554140127e-06, | |
| "loss": 0.0701, | |
| "step": 6180 | |
| }, | |
| { | |
| "epoch": 9.87, | |
| "grad_norm": 1.6369106769561768, | |
| "learning_rate": 1.337579617834395e-06, | |
| "loss": 0.071, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 9.87, | |
| "eval_accuracy": 0.7466666666666667, | |
| "eval_loss": 1.1522855758666992, | |
| "eval_runtime": 14.2788, | |
| "eval_samples_per_second": 73.536, | |
| "eval_steps_per_second": 9.244, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 9.9, | |
| "grad_norm": 0.5098825097084045, | |
| "learning_rate": 1.019108280254777e-06, | |
| "loss": 0.0679, | |
| "step": 6220 | |
| }, | |
| { | |
| "epoch": 9.94, | |
| "grad_norm": 0.0343327559530735, | |
| "learning_rate": 7.006369426751592e-07, | |
| "loss": 0.1315, | |
| "step": 6240 | |
| }, | |
| { | |
| "epoch": 9.97, | |
| "grad_norm": 3.2321577072143555, | |
| "learning_rate": 3.8216560509554143e-07, | |
| "loss": 0.0521, | |
| "step": 6260 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 0.04384122043848038, | |
| "learning_rate": 6.369426751592356e-08, | |
| "loss": 0.0769, | |
| "step": 6280 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "step": 6280, | |
| "total_flos": 7.783078535151575e+18, | |
| "train_loss": 0.28272074579623097, | |
| "train_runtime": 3631.8012, | |
| "train_samples_per_second": 27.631, | |
| "train_steps_per_second": 1.729 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 6280, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 100, | |
| "total_flos": 7.783078535151575e+18, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |