{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 2.0, "eval_steps": 500, "global_step": 1564, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.00128, "grad_norm": 943.0071411132812, "learning_rate": 0.0, "loss": 26.8583, "memory/device_mem_reserved(gib)": 42.35, "memory/max_mem_active(gib)": 33.48, "memory/max_mem_allocated(gib)": 33.48, "step": 1 }, { "epoch": 0.00256, "grad_norm": 894.6732788085938, "learning_rate": 2.0512820512820514e-07, "loss": 26.3429, "memory/device_mem_reserved(gib)": 42.72, "memory/max_mem_active(gib)": 35.36, "memory/max_mem_allocated(gib)": 35.36, "step": 2 }, { "epoch": 0.00384, "grad_norm": 779.1138916015625, "learning_rate": 4.102564102564103e-07, "loss": 26.7813, "memory/device_mem_reserved(gib)": 42.72, "memory/max_mem_active(gib)": 35.48, "memory/max_mem_allocated(gib)": 35.48, "step": 3 }, { "epoch": 0.00512, "grad_norm": 827.8781127929688, "learning_rate": 6.153846153846155e-07, "loss": 26.6513, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 35.48, "memory/max_mem_allocated(gib)": 35.48, "step": 4 }, { "epoch": 0.0064, "grad_norm": 801.3063354492188, "learning_rate": 8.205128205128206e-07, "loss": 25.6832, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 35.51, "memory/max_mem_allocated(gib)": 35.51, "step": 5 }, { "epoch": 0.00768, "grad_norm": 795.1607055664062, "learning_rate": 1.0256410256410257e-06, "loss": 26.3663, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 35.58, "memory/max_mem_allocated(gib)": 35.58, "step": 6 }, { "epoch": 0.00896, "grad_norm": 722.6891479492188, "learning_rate": 1.230769230769231e-06, "loss": 25.8257, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 35.85, "memory/max_mem_allocated(gib)": 35.85, "step": 7 }, { "epoch": 0.01024, "grad_norm": 627.534912109375, "learning_rate": 1.4358974358974359e-06, "loss": 24.7408, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 35.85, "memory/max_mem_allocated(gib)": 35.85, "step": 8 }, { "epoch": 0.01152, "grad_norm": 543.8820190429688, "learning_rate": 1.6410256410256412e-06, "loss": 23.6523, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 35.85, "memory/max_mem_allocated(gib)": 35.85, "step": 9 }, { "epoch": 0.0128, "grad_norm": 544.8069458007812, "learning_rate": 1.8461538461538465e-06, "loss": 23.3348, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 35.85, "memory/max_mem_allocated(gib)": 35.85, "step": 10 }, { "epoch": 0.01408, "grad_norm": 294.4563903808594, "learning_rate": 2.0512820512820513e-06, "loss": 20.9558, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 35.85, "memory/max_mem_allocated(gib)": 35.85, "step": 11 }, { "epoch": 0.01536, "grad_norm": 226.8517608642578, "learning_rate": 2.2564102564102566e-06, "loss": 20.32, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 35.85, "memory/max_mem_allocated(gib)": 35.85, "step": 12 }, { "epoch": 0.01664, "grad_norm": 286.2758483886719, "learning_rate": 2.461538461538462e-06, "loss": 19.5688, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 13 }, { "epoch": 0.01792, "grad_norm": 1015.4624633789062, "learning_rate": 2.666666666666667e-06, "loss": 17.2266, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 14 }, { "epoch": 0.0192, "grad_norm": 123.43961334228516, "learning_rate": 2.8717948717948717e-06, "loss": 17.0533, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 15 }, { "epoch": 0.02048, "grad_norm": 134.70875549316406, "learning_rate": 3.0769230769230774e-06, "loss": 16.9612, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 16 }, { "epoch": 0.02176, "grad_norm": 202.82203674316406, "learning_rate": 3.2820512820512823e-06, "loss": 16.1024, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 17 }, { "epoch": 0.02304, "grad_norm": 111.19059753417969, "learning_rate": 3.487179487179487e-06, "loss": 16.0882, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 18 }, { "epoch": 0.02432, "grad_norm": 104.26502990722656, "learning_rate": 3.692307692307693e-06, "loss": 14.7304, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 19 }, { "epoch": 0.0256, "grad_norm": 96.52542114257812, "learning_rate": 3.897435897435898e-06, "loss": 14.0899, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 20 }, { "epoch": 0.02688, "grad_norm": 190.97918701171875, "learning_rate": 4.102564102564103e-06, "loss": 13.7304, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 21 }, { "epoch": 0.02816, "grad_norm": 96.3394546508789, "learning_rate": 4.307692307692308e-06, "loss": 13.342, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 22 }, { "epoch": 0.02944, "grad_norm": 156.62698364257812, "learning_rate": 4.512820512820513e-06, "loss": 12.1164, "memory/device_mem_reserved(gib)": 42.76, "memory/max_mem_active(gib)": 36.19, "memory/max_mem_allocated(gib)": 36.19, "step": 23 }, { "epoch": 0.03072, "grad_norm": 300.738037109375, "learning_rate": 4.717948717948718e-06, "loss": 13.1879, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 24 }, { "epoch": 0.032, "grad_norm": 496.22723388671875, "learning_rate": 4.923076923076924e-06, "loss": 12.3662, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 25 }, { "epoch": 0.03328, "grad_norm": 267.0767822265625, "learning_rate": 5.128205128205128e-06, "loss": 11.5903, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 26 }, { "epoch": 0.03456, "grad_norm": 71.49817657470703, "learning_rate": 5.333333333333334e-06, "loss": 11.8657, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 27 }, { "epoch": 0.03584, "grad_norm": 71.2458724975586, "learning_rate": 5.538461538461539e-06, "loss": 12.0617, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 28 }, { "epoch": 0.03712, "grad_norm": 52.17582321166992, "learning_rate": 5.743589743589743e-06, "loss": 11.6688, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 29 }, { "epoch": 0.0384, "grad_norm": 77.97213745117188, "learning_rate": 5.948717948717949e-06, "loss": 11.179, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 30 }, { "epoch": 0.03968, "grad_norm": 40.552940368652344, "learning_rate": 6.153846153846155e-06, "loss": 11.5282, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 31 }, { "epoch": 0.04096, "grad_norm": 44.37596130371094, "learning_rate": 6.358974358974359e-06, "loss": 11.1185, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 32 }, { "epoch": 0.04224, "grad_norm": 38.9630126953125, "learning_rate": 6.564102564102565e-06, "loss": 10.3685, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 33 }, { "epoch": 0.04352, "grad_norm": 62.90005111694336, "learning_rate": 6.76923076923077e-06, "loss": 10.3497, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 34 }, { "epoch": 0.0448, "grad_norm": 42.33110427856445, "learning_rate": 6.974358974358974e-06, "loss": 10.3175, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 35 }, { "epoch": 0.04608, "grad_norm": 46.9105339050293, "learning_rate": 7.17948717948718e-06, "loss": 9.3845, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 36 }, { "epoch": 0.04736, "grad_norm": 36.809818267822266, "learning_rate": 7.384615384615386e-06, "loss": 9.9634, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 37 }, { "epoch": 0.04864, "grad_norm": 43.702144622802734, "learning_rate": 7.58974358974359e-06, "loss": 9.5653, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 38 }, { "epoch": 0.04992, "grad_norm": 51.769222259521484, "learning_rate": 7.794871794871796e-06, "loss": 9.85, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 39 }, { "epoch": 0.0512, "grad_norm": 44.05131530761719, "learning_rate": 8.000000000000001e-06, "loss": 9.2472, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 40 }, { "epoch": 0.05248, "grad_norm": 39.230037689208984, "learning_rate": 8.205128205128205e-06, "loss": 10.0696, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 41 }, { "epoch": 0.05376, "grad_norm": 33.89363098144531, "learning_rate": 8.410256410256411e-06, "loss": 9.714, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 42 }, { "epoch": 0.05504, "grad_norm": 39.05463409423828, "learning_rate": 8.615384615384617e-06, "loss": 9.4948, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.28, "memory/max_mem_allocated(gib)": 37.28, "step": 43 }, { "epoch": 0.05632, "grad_norm": 60.644073486328125, "learning_rate": 8.820512820512821e-06, "loss": 9.4933, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.32, "memory/max_mem_allocated(gib)": 37.32, "step": 44 }, { "epoch": 0.0576, "grad_norm": 33.32774353027344, "learning_rate": 9.025641025641027e-06, "loss": 8.9878, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.32, "memory/max_mem_allocated(gib)": 37.32, "step": 45 }, { "epoch": 0.05888, "grad_norm": 54.093814849853516, "learning_rate": 9.230769230769232e-06, "loss": 8.8003, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.32, "memory/max_mem_allocated(gib)": 37.32, "step": 46 }, { "epoch": 0.06016, "grad_norm": 52.485355377197266, "learning_rate": 9.435897435897436e-06, "loss": 9.0157, "memory/device_mem_reserved(gib)": 44.85, "memory/max_mem_active(gib)": 37.32, "memory/max_mem_allocated(gib)": 37.32, "step": 47 }, { "epoch": 0.06144, "grad_norm": 38.83443069458008, "learning_rate": 9.641025641025642e-06, "loss": 8.8389, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 48 }, { "epoch": 0.06272, "grad_norm": 34.78817367553711, "learning_rate": 9.846153846153848e-06, "loss": 9.2305, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 49 }, { "epoch": 0.064, "grad_norm": 30.74789047241211, "learning_rate": 1.0051282051282052e-05, "loss": 9.3737, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 50 }, { "epoch": 0.06528, "grad_norm": 32.679473876953125, "learning_rate": 1.0256410256410256e-05, "loss": 8.4924, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 51 }, { "epoch": 0.06656, "grad_norm": 32.131465911865234, "learning_rate": 1.0461538461538463e-05, "loss": 8.9277, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 52 }, { "epoch": 0.06784, "grad_norm": 36.75102233886719, "learning_rate": 1.0666666666666667e-05, "loss": 8.4143, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 53 }, { "epoch": 0.06912, "grad_norm": 32.4638557434082, "learning_rate": 1.0871794871794871e-05, "loss": 9.0337, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 54 }, { "epoch": 0.0704, "grad_norm": 32.151004791259766, "learning_rate": 1.1076923076923079e-05, "loss": 8.4576, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 55 }, { "epoch": 0.07168, "grad_norm": 34.92361068725586, "learning_rate": 1.1282051282051283e-05, "loss": 9.0393, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 56 }, { "epoch": 0.07296, "grad_norm": 33.59746170043945, "learning_rate": 1.1487179487179487e-05, "loss": 8.5978, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 57 }, { "epoch": 0.07424, "grad_norm": 30.633743286132812, "learning_rate": 1.1692307692307694e-05, "loss": 8.9065, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 58 }, { "epoch": 0.07552, "grad_norm": 33.507991790771484, "learning_rate": 1.1897435897435898e-05, "loss": 8.1213, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 59 }, { "epoch": 0.0768, "grad_norm": 27.579364776611328, "learning_rate": 1.2102564102564102e-05, "loss": 8.3608, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 60 }, { "epoch": 0.07808, "grad_norm": 31.997669219970703, "learning_rate": 1.230769230769231e-05, "loss": 8.6949, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 61 }, { "epoch": 0.07936, "grad_norm": 43.29601287841797, "learning_rate": 1.2512820512820514e-05, "loss": 8.2145, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 62 }, { "epoch": 0.08064, "grad_norm": 39.44371795654297, "learning_rate": 1.2717948717948718e-05, "loss": 8.9729, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 63 }, { "epoch": 0.08192, "grad_norm": 27.800060272216797, "learning_rate": 1.2923076923076925e-05, "loss": 8.4771, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 64 }, { "epoch": 0.0832, "grad_norm": 31.16974639892578, "learning_rate": 1.312820512820513e-05, "loss": 8.1678, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 65 }, { "epoch": 0.08448, "grad_norm": 29.951412200927734, "learning_rate": 1.3333333333333333e-05, "loss": 8.4692, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 66 }, { "epoch": 0.08576, "grad_norm": 33.43301010131836, "learning_rate": 1.353846153846154e-05, "loss": 8.59, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 67 }, { "epoch": 0.08704, "grad_norm": 30.690488815307617, "learning_rate": 1.3743589743589745e-05, "loss": 8.3174, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 68 }, { "epoch": 0.08832, "grad_norm": 43.150413513183594, "learning_rate": 1.3948717948717949e-05, "loss": 7.7014, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 69 }, { "epoch": 0.0896, "grad_norm": 30.924102783203125, "learning_rate": 1.4153846153846156e-05, "loss": 7.9086, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 70 }, { "epoch": 0.09088, "grad_norm": 35.42169952392578, "learning_rate": 1.435897435897436e-05, "loss": 7.9174, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 71 }, { "epoch": 0.09216, "grad_norm": 25.840164184570312, "learning_rate": 1.4564102564102564e-05, "loss": 8.4217, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 72 }, { "epoch": 0.09344, "grad_norm": 29.021928787231445, "learning_rate": 1.4769230769230772e-05, "loss": 8.0681, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 73 }, { "epoch": 0.09472, "grad_norm": 28.393680572509766, "learning_rate": 1.4974358974358976e-05, "loss": 7.8655, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 74 }, { "epoch": 0.096, "grad_norm": 26.432907104492188, "learning_rate": 1.517948717948718e-05, "loss": 8.1354, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 75 }, { "epoch": 0.09728, "grad_norm": 26.480314254760742, "learning_rate": 1.5384615384615387e-05, "loss": 8.1304, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 76 }, { "epoch": 0.09856, "grad_norm": 28.24249267578125, "learning_rate": 1.558974358974359e-05, "loss": 8.0136, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 77 }, { "epoch": 0.09984, "grad_norm": 32.14089584350586, "learning_rate": 1.5794871794871795e-05, "loss": 7.8525, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 78 }, { "epoch": 0.10112, "grad_norm": 28.165756225585938, "learning_rate": 1.6000000000000003e-05, "loss": 7.6275, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 79 }, { "epoch": 0.1024, "grad_norm": 50.589576721191406, "learning_rate": 1.6205128205128207e-05, "loss": 7.9023, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 80 }, { "epoch": 0.10368, "grad_norm": 32.237186431884766, "learning_rate": 1.641025641025641e-05, "loss": 7.8455, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 81 }, { "epoch": 0.10496, "grad_norm": 57.88458251953125, "learning_rate": 1.6615384615384618e-05, "loss": 8.3592, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 82 }, { "epoch": 0.10624, "grad_norm": 81.25857543945312, "learning_rate": 1.6820512820512822e-05, "loss": 7.9317, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 83 }, { "epoch": 0.10752, "grad_norm": 36.469661712646484, "learning_rate": 1.7025641025641026e-05, "loss": 7.7456, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 84 }, { "epoch": 0.1088, "grad_norm": 34.244468688964844, "learning_rate": 1.7230769230769234e-05, "loss": 8.2579, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 85 }, { "epoch": 0.11008, "grad_norm": 27.221975326538086, "learning_rate": 1.7435897435897438e-05, "loss": 8.0872, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 86 }, { "epoch": 0.11136, "grad_norm": 27.627161026000977, "learning_rate": 1.7641025641025642e-05, "loss": 7.9209, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 87 }, { "epoch": 0.11264, "grad_norm": 31.908048629760742, "learning_rate": 1.784615384615385e-05, "loss": 7.7487, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 88 }, { "epoch": 0.11392, "grad_norm": 51.19007873535156, "learning_rate": 1.8051282051282053e-05, "loss": 8.1042, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 89 }, { "epoch": 0.1152, "grad_norm": 31.66413116455078, "learning_rate": 1.8256410256410257e-05, "loss": 8.1761, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 90 }, { "epoch": 0.11648, "grad_norm": 29.217517852783203, "learning_rate": 1.8461538461538465e-05, "loss": 8.3608, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 91 }, { "epoch": 0.11776, "grad_norm": 27.76142120361328, "learning_rate": 1.866666666666667e-05, "loss": 7.7945, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 92 }, { "epoch": 0.11904, "grad_norm": 27.775718688964844, "learning_rate": 1.8871794871794873e-05, "loss": 7.733, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 93 }, { "epoch": 0.12032, "grad_norm": 37.3453369140625, "learning_rate": 1.907692307692308e-05, "loss": 7.8987, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 94 }, { "epoch": 0.1216, "grad_norm": 32.615238189697266, "learning_rate": 1.9282051282051284e-05, "loss": 7.9751, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 95 }, { "epoch": 0.12288, "grad_norm": 26.937097549438477, "learning_rate": 1.9487179487179488e-05, "loss": 7.8048, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 96 }, { "epoch": 0.12416, "grad_norm": 26.439821243286133, "learning_rate": 1.9692307692307696e-05, "loss": 7.3239, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 97 }, { "epoch": 0.12544, "grad_norm": 27.929983139038086, "learning_rate": 1.98974358974359e-05, "loss": 7.7842, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 98 }, { "epoch": 0.12672, "grad_norm": 30.22813606262207, "learning_rate": 2.0102564102564104e-05, "loss": 7.4926, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 99 }, { "epoch": 0.128, "grad_norm": 26.91910171508789, "learning_rate": 2.0307692307692308e-05, "loss": 7.3742, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 100 }, { "epoch": 0.12928, "grad_norm": 27.321151733398438, "learning_rate": 2.0512820512820512e-05, "loss": 7.679, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 101 }, { "epoch": 0.13056, "grad_norm": 26.660919189453125, "learning_rate": 2.0717948717948723e-05, "loss": 7.4025, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 102 }, { "epoch": 0.13184, "grad_norm": 24.156625747680664, "learning_rate": 2.0923076923076927e-05, "loss": 7.5025, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 103 }, { "epoch": 0.13312, "grad_norm": 25.177528381347656, "learning_rate": 2.112820512820513e-05, "loss": 7.6049, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 104 }, { "epoch": 0.1344, "grad_norm": 31.735584259033203, "learning_rate": 2.1333333333333335e-05, "loss": 7.4242, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 105 }, { "epoch": 0.13568, "grad_norm": 27.15195083618164, "learning_rate": 2.153846153846154e-05, "loss": 7.5803, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 106 }, { "epoch": 0.13696, "grad_norm": 28.860498428344727, "learning_rate": 2.1743589743589743e-05, "loss": 7.1806, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 107 }, { "epoch": 0.13824, "grad_norm": 25.703521728515625, "learning_rate": 2.1948717948717954e-05, "loss": 7.7719, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 108 }, { "epoch": 0.13952, "grad_norm": 27.85085105895996, "learning_rate": 2.2153846153846158e-05, "loss": 7.6507, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 109 }, { "epoch": 0.1408, "grad_norm": 96.5785903930664, "learning_rate": 2.235897435897436e-05, "loss": 7.055, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 110 }, { "epoch": 0.14208, "grad_norm": 31.93810272216797, "learning_rate": 2.2564102564102566e-05, "loss": 7.8408, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 111 }, { "epoch": 0.14336, "grad_norm": 26.788251876831055, "learning_rate": 2.276923076923077e-05, "loss": 7.5329, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 112 }, { "epoch": 0.14464, "grad_norm": 28.30866050720215, "learning_rate": 2.2974358974358974e-05, "loss": 7.7382, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 113 }, { "epoch": 0.14592, "grad_norm": 28.6704158782959, "learning_rate": 2.3179487179487184e-05, "loss": 7.4315, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 114 }, { "epoch": 0.1472, "grad_norm": 28.502559661865234, "learning_rate": 2.338461538461539e-05, "loss": 7.7116, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 115 }, { "epoch": 0.14848, "grad_norm": 29.095855712890625, "learning_rate": 2.3589743589743593e-05, "loss": 7.6553, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 116 }, { "epoch": 0.14976, "grad_norm": 86.58271789550781, "learning_rate": 2.3794871794871797e-05, "loss": 7.8731, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 117 }, { "epoch": 0.15104, "grad_norm": 33.38468551635742, "learning_rate": 2.4e-05, "loss": 7.6886, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 118 }, { "epoch": 0.15232, "grad_norm": 27.513471603393555, "learning_rate": 2.4205128205128205e-05, "loss": 7.3102, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 119 }, { "epoch": 0.1536, "grad_norm": 26.169601440429688, "learning_rate": 2.4410256410256415e-05, "loss": 7.636, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 120 }, { "epoch": 0.15488, "grad_norm": 30.805940628051758, "learning_rate": 2.461538461538462e-05, "loss": 8.1017, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 121 }, { "epoch": 0.15616, "grad_norm": 29.16293716430664, "learning_rate": 2.4820512820512824e-05, "loss": 7.5979, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 122 }, { "epoch": 0.15744, "grad_norm": 28.217666625976562, "learning_rate": 2.5025641025641028e-05, "loss": 7.8905, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 123 }, { "epoch": 0.15872, "grad_norm": 32.22761535644531, "learning_rate": 2.523076923076923e-05, "loss": 7.2379, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 124 }, { "epoch": 0.16, "grad_norm": 32.33599090576172, "learning_rate": 2.5435897435897436e-05, "loss": 7.6177, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 125 }, { "epoch": 0.16128, "grad_norm": 36.57991409301758, "learning_rate": 2.5641025641025646e-05, "loss": 7.5019, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 126 }, { "epoch": 0.16256, "grad_norm": 44.016719818115234, "learning_rate": 2.584615384615385e-05, "loss": 7.4338, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 127 }, { "epoch": 0.16384, "grad_norm": 45.56246566772461, "learning_rate": 2.6051282051282054e-05, "loss": 7.7715, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 128 }, { "epoch": 0.16512, "grad_norm": 34.28219223022461, "learning_rate": 2.625641025641026e-05, "loss": 7.5057, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 129 }, { "epoch": 0.1664, "grad_norm": 28.807167053222656, "learning_rate": 2.6461538461538463e-05, "loss": 7.61, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 130 }, { "epoch": 0.16768, "grad_norm": 28.65713882446289, "learning_rate": 2.6666666666666667e-05, "loss": 7.9045, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 131 }, { "epoch": 0.16896, "grad_norm": 45.7618293762207, "learning_rate": 2.687179487179487e-05, "loss": 7.1914, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 132 }, { "epoch": 0.17024, "grad_norm": 32.19977569580078, "learning_rate": 2.707692307692308e-05, "loss": 7.3656, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 133 }, { "epoch": 0.17152, "grad_norm": 66.96687316894531, "learning_rate": 2.7282051282051285e-05, "loss": 7.6462, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 134 }, { "epoch": 0.1728, "grad_norm": 28.56231689453125, "learning_rate": 2.748717948717949e-05, "loss": 7.7734, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 135 }, { "epoch": 0.17408, "grad_norm": 27.52979850769043, "learning_rate": 2.7692307692307694e-05, "loss": 7.5534, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 136 }, { "epoch": 0.17536, "grad_norm": 30.6816463470459, "learning_rate": 2.7897435897435898e-05, "loss": 7.2064, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 137 }, { "epoch": 0.17664, "grad_norm": 29.34852409362793, "learning_rate": 2.81025641025641e-05, "loss": 7.4757, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 138 }, { "epoch": 0.17792, "grad_norm": 26.2587947845459, "learning_rate": 2.8307692307692312e-05, "loss": 6.8924, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 139 }, { "epoch": 0.1792, "grad_norm": 41.88474655151367, "learning_rate": 2.8512820512820516e-05, "loss": 7.4723, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 140 }, { "epoch": 0.18048, "grad_norm": 29.062210083007812, "learning_rate": 2.871794871794872e-05, "loss": 7.3144, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 141 }, { "epoch": 0.18176, "grad_norm": 39.41681671142578, "learning_rate": 2.8923076923076925e-05, "loss": 7.5186, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 142 }, { "epoch": 0.18304, "grad_norm": 33.29527282714844, "learning_rate": 2.912820512820513e-05, "loss": 7.397, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 143 }, { "epoch": 0.18432, "grad_norm": 29.38136100769043, "learning_rate": 2.9333333333333333e-05, "loss": 7.2251, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 144 }, { "epoch": 0.1856, "grad_norm": 26.536231994628906, "learning_rate": 2.9538461538461543e-05, "loss": 7.4635, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 145 }, { "epoch": 0.18688, "grad_norm": 32.984580993652344, "learning_rate": 2.9743589743589747e-05, "loss": 6.9008, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 146 }, { "epoch": 0.18816, "grad_norm": 28.295766830444336, "learning_rate": 2.994871794871795e-05, "loss": 7.617, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 147 }, { "epoch": 0.18944, "grad_norm": 26.763572692871094, "learning_rate": 3.0153846153846155e-05, "loss": 7.4041, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 148 }, { "epoch": 0.19072, "grad_norm": 26.86812400817871, "learning_rate": 3.035897435897436e-05, "loss": 7.3941, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 149 }, { "epoch": 0.192, "grad_norm": 25.87807846069336, "learning_rate": 3.0564102564102564e-05, "loss": 7.4806, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 150 }, { "epoch": 0.19328, "grad_norm": 30.369932174682617, "learning_rate": 3.0769230769230774e-05, "loss": 7.204, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 151 }, { "epoch": 0.19456, "grad_norm": 28.626787185668945, "learning_rate": 3.097435897435898e-05, "loss": 7.2299, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 152 }, { "epoch": 0.19584, "grad_norm": 43.030460357666016, "learning_rate": 3.117948717948718e-05, "loss": 7.5602, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 153 }, { "epoch": 0.19712, "grad_norm": 34.22526550292969, "learning_rate": 3.1384615384615386e-05, "loss": 7.3877, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 154 }, { "epoch": 0.1984, "grad_norm": 29.961040496826172, "learning_rate": 3.158974358974359e-05, "loss": 7.8363, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 155 }, { "epoch": 0.19968, "grad_norm": 39.8833122253418, "learning_rate": 3.1794871794871795e-05, "loss": 6.9627, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 156 }, { "epoch": 0.20096, "grad_norm": 29.044279098510742, "learning_rate": 3.2000000000000005e-05, "loss": 7.6429, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 157 }, { "epoch": 0.20224, "grad_norm": 25.669994354248047, "learning_rate": 3.220512820512821e-05, "loss": 7.688, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 158 }, { "epoch": 0.20352, "grad_norm": 28.477352142333984, "learning_rate": 3.2410256410256413e-05, "loss": 7.0439, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 159 }, { "epoch": 0.2048, "grad_norm": 36.48465347290039, "learning_rate": 3.261538461538462e-05, "loss": 7.1525, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 160 }, { "epoch": 0.20608, "grad_norm": 28.120555877685547, "learning_rate": 3.282051282051282e-05, "loss": 7.1303, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 161 }, { "epoch": 0.20736, "grad_norm": 27.031818389892578, "learning_rate": 3.3025641025641025e-05, "loss": 7.2787, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 162 }, { "epoch": 0.20864, "grad_norm": 23.410655975341797, "learning_rate": 3.3230769230769236e-05, "loss": 7.1535, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 163 }, { "epoch": 0.20992, "grad_norm": 32.51003646850586, "learning_rate": 3.343589743589744e-05, "loss": 7.4385, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 164 }, { "epoch": 0.2112, "grad_norm": 26.756977081298828, "learning_rate": 3.3641025641025644e-05, "loss": 7.3921, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 165 }, { "epoch": 0.21248, "grad_norm": 27.445463180541992, "learning_rate": 3.384615384615385e-05, "loss": 7.5154, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 166 }, { "epoch": 0.21376, "grad_norm": 29.687232971191406, "learning_rate": 3.405128205128205e-05, "loss": 7.5589, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 167 }, { "epoch": 0.21504, "grad_norm": 27.78950309753418, "learning_rate": 3.4256410256410256e-05, "loss": 7.4382, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 168 }, { "epoch": 0.21632, "grad_norm": 28.9667911529541, "learning_rate": 3.446153846153847e-05, "loss": 7.5587, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 169 }, { "epoch": 0.2176, "grad_norm": 26.19134521484375, "learning_rate": 3.466666666666667e-05, "loss": 7.1173, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 170 }, { "epoch": 0.21888, "grad_norm": 24.684326171875, "learning_rate": 3.4871794871794875e-05, "loss": 6.8362, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 171 }, { "epoch": 0.22016, "grad_norm": 27.030635833740234, "learning_rate": 3.507692307692308e-05, "loss": 7.6929, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 172 }, { "epoch": 0.22144, "grad_norm": 25.954500198364258, "learning_rate": 3.5282051282051283e-05, "loss": 7.8366, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 173 }, { "epoch": 0.22272, "grad_norm": 25.295730590820312, "learning_rate": 3.548717948717949e-05, "loss": 6.9026, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 174 }, { "epoch": 0.224, "grad_norm": 28.83482551574707, "learning_rate": 3.56923076923077e-05, "loss": 7.361, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 175 }, { "epoch": 0.22528, "grad_norm": 27.518739700317383, "learning_rate": 3.58974358974359e-05, "loss": 7.0902, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 176 }, { "epoch": 0.22656, "grad_norm": 28.715906143188477, "learning_rate": 3.6102564102564106e-05, "loss": 7.4485, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 177 }, { "epoch": 0.22784, "grad_norm": 25.735797882080078, "learning_rate": 3.630769230769231e-05, "loss": 7.3161, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 178 }, { "epoch": 0.22912, "grad_norm": 27.011320114135742, "learning_rate": 3.6512820512820514e-05, "loss": 7.2051, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 179 }, { "epoch": 0.2304, "grad_norm": 26.674131393432617, "learning_rate": 3.671794871794872e-05, "loss": 6.928, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 180 }, { "epoch": 0.23168, "grad_norm": 25.457225799560547, "learning_rate": 3.692307692307693e-05, "loss": 6.8202, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 181 }, { "epoch": 0.23296, "grad_norm": 26.1579532623291, "learning_rate": 3.712820512820513e-05, "loss": 7.1869, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 182 }, { "epoch": 0.23424, "grad_norm": 27.95337677001953, "learning_rate": 3.733333333333334e-05, "loss": 7.373, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 183 }, { "epoch": 0.23552, "grad_norm": 27.133228302001953, "learning_rate": 3.753846153846154e-05, "loss": 7.3044, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 184 }, { "epoch": 0.2368, "grad_norm": 27.50359344482422, "learning_rate": 3.7743589743589745e-05, "loss": 7.4961, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 185 }, { "epoch": 0.23808, "grad_norm": 27.560222625732422, "learning_rate": 3.794871794871795e-05, "loss": 7.1648, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 186 }, { "epoch": 0.23936, "grad_norm": 25.785606384277344, "learning_rate": 3.815384615384616e-05, "loss": 7.4283, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 187 }, { "epoch": 0.24064, "grad_norm": 29.217227935791016, "learning_rate": 3.8358974358974364e-05, "loss": 6.8363, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 188 }, { "epoch": 0.24192, "grad_norm": 50.92862319946289, "learning_rate": 3.856410256410257e-05, "loss": 7.44, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 189 }, { "epoch": 0.2432, "grad_norm": 27.307830810546875, "learning_rate": 3.876923076923077e-05, "loss": 6.8786, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 190 }, { "epoch": 0.24448, "grad_norm": 25.177654266357422, "learning_rate": 3.8974358974358976e-05, "loss": 7.9231, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 191 }, { "epoch": 0.24576, "grad_norm": 23.015457153320312, "learning_rate": 3.917948717948718e-05, "loss": 7.1716, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 192 }, { "epoch": 0.24704, "grad_norm": 24.300140380859375, "learning_rate": 3.938461538461539e-05, "loss": 6.834, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 193 }, { "epoch": 0.24832, "grad_norm": 24.015390396118164, "learning_rate": 3.9589743589743595e-05, "loss": 7.5247, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 194 }, { "epoch": 0.2496, "grad_norm": 24.160938262939453, "learning_rate": 3.97948717948718e-05, "loss": 6.8585, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 195 }, { "epoch": 0.25088, "grad_norm": 23.785938262939453, "learning_rate": 4e-05, "loss": 7.2599, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 196 }, { "epoch": 0.25216, "grad_norm": 22.726558685302734, "learning_rate": 3.999999283718418e-05, "loss": 6.9804, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 197 }, { "epoch": 0.25344, "grad_norm": 22.305011749267578, "learning_rate": 3.999997134874184e-05, "loss": 7.1515, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 198 }, { "epoch": 0.25472, "grad_norm": 30.611007690429688, "learning_rate": 3.9999935534688374e-05, "loss": 7.5013, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 199 }, { "epoch": 0.256, "grad_norm": 25.6177921295166, "learning_rate": 3.999988539504943e-05, "loss": 7.29, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 200 }, { "epoch": 0.25728, "grad_norm": 24.974910736083984, "learning_rate": 3.9999820929860936e-05, "loss": 7.1416, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 201 }, { "epoch": 0.25856, "grad_norm": 27.46953010559082, "learning_rate": 3.9999742139169056e-05, "loss": 7.3123, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 202 }, { "epoch": 0.25984, "grad_norm": 25.888294219970703, "learning_rate": 3.9999649023030226e-05, "loss": 7.4571, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 203 }, { "epoch": 0.26112, "grad_norm": 24.391929626464844, "learning_rate": 3.999954158151115e-05, "loss": 7.2678, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 204 }, { "epoch": 0.2624, "grad_norm": 26.588842391967773, "learning_rate": 3.9999419814688785e-05, "loss": 7.0465, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 205 }, { "epoch": 0.26368, "grad_norm": 28.12875747680664, "learning_rate": 3.999928372265034e-05, "loss": 7.0782, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 206 }, { "epoch": 0.26496, "grad_norm": 24.28676986694336, "learning_rate": 3.999913330549331e-05, "loss": 7.1939, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 207 }, { "epoch": 0.26624, "grad_norm": 29.920822143554688, "learning_rate": 3.999896856332543e-05, "loss": 7.1549, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 208 }, { "epoch": 0.26752, "grad_norm": 25.22981834411621, "learning_rate": 3.99987894962647e-05, "loss": 7.262, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 209 }, { "epoch": 0.2688, "grad_norm": 28.09942054748535, "learning_rate": 3.999859610443938e-05, "loss": 6.9534, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 210 }, { "epoch": 0.27008, "grad_norm": 24.31924819946289, "learning_rate": 3.9998388387988e-05, "loss": 6.8504, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 211 }, { "epoch": 0.27136, "grad_norm": 25.096738815307617, "learning_rate": 3.999816634705934e-05, "loss": 7.5196, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 212 }, { "epoch": 0.27264, "grad_norm": 22.932994842529297, "learning_rate": 3.999792998181245e-05, "loss": 7.3784, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 213 }, { "epoch": 0.27392, "grad_norm": 24.63864517211914, "learning_rate": 3.999767929241662e-05, "loss": 7.3724, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 214 }, { "epoch": 0.2752, "grad_norm": 27.241973876953125, "learning_rate": 3.999741427905143e-05, "loss": 7.141, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 215 }, { "epoch": 0.27648, "grad_norm": 24.857637405395508, "learning_rate": 3.999713494190669e-05, "loss": 7.4432, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 216 }, { "epoch": 0.27776, "grad_norm": 24.38045883178711, "learning_rate": 3.999684128118249e-05, "loss": 6.7806, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 217 }, { "epoch": 0.27904, "grad_norm": 22.08219337463379, "learning_rate": 3.9996533297089175e-05, "loss": 6.746, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 218 }, { "epoch": 0.28032, "grad_norm": 23.54495620727539, "learning_rate": 3.999621098984735e-05, "loss": 7.7026, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 219 }, { "epoch": 0.2816, "grad_norm": 25.042194366455078, "learning_rate": 3.9995874359687876e-05, "loss": 7.6369, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 220 }, { "epoch": 0.28288, "grad_norm": 23.652082443237305, "learning_rate": 3.9995523406851876e-05, "loss": 6.8731, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 221 }, { "epoch": 0.28416, "grad_norm": 26.36944580078125, "learning_rate": 3.999515813159073e-05, "loss": 7.2179, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 222 }, { "epoch": 0.28544, "grad_norm": 22.965917587280273, "learning_rate": 3.9994778534166067e-05, "loss": 6.6468, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 223 }, { "epoch": 0.28672, "grad_norm": 21.778676986694336, "learning_rate": 3.9994384614849806e-05, "loss": 6.5735, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 224 }, { "epoch": 0.288, "grad_norm": 22.94593048095703, "learning_rate": 3.999397637392409e-05, "loss": 7.0562, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 225 }, { "epoch": 0.28928, "grad_norm": 23.361827850341797, "learning_rate": 3.999355381168134e-05, "loss": 7.6151, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 226 }, { "epoch": 0.29056, "grad_norm": 27.56318473815918, "learning_rate": 3.999311692842423e-05, "loss": 7.0598, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 227 }, { "epoch": 0.29184, "grad_norm": 25.052915573120117, "learning_rate": 3.9992665724465686e-05, "loss": 6.9419, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 228 }, { "epoch": 0.29312, "grad_norm": 22.458568572998047, "learning_rate": 3.9992200200128894e-05, "loss": 6.8586, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 229 }, { "epoch": 0.2944, "grad_norm": 22.5845890045166, "learning_rate": 3.999172035574732e-05, "loss": 7.0967, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 230 }, { "epoch": 0.29568, "grad_norm": 22.008697509765625, "learning_rate": 3.999122619166465e-05, "loss": 6.5535, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 231 }, { "epoch": 0.29696, "grad_norm": 27.653730392456055, "learning_rate": 3.999071770823485e-05, "loss": 6.896, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 232 }, { "epoch": 0.29824, "grad_norm": 27.453027725219727, "learning_rate": 3.9990194905822135e-05, "loss": 7.1251, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 233 }, { "epoch": 0.29952, "grad_norm": 23.42361068725586, "learning_rate": 3.9989657784800986e-05, "loss": 6.6759, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 234 }, { "epoch": 0.3008, "grad_norm": 25.460248947143555, "learning_rate": 3.9989106345556126e-05, "loss": 6.5325, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 235 }, { "epoch": 0.30208, "grad_norm": 21.456130981445312, "learning_rate": 3.998854058848253e-05, "loss": 6.9773, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 236 }, { "epoch": 0.30336, "grad_norm": 22.402469635009766, "learning_rate": 3.998796051398547e-05, "loss": 6.5739, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 237 }, { "epoch": 0.30464, "grad_norm": 25.344738006591797, "learning_rate": 3.998736612248041e-05, "loss": 7.1671, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 238 }, { "epoch": 0.30592, "grad_norm": 22.0131893157959, "learning_rate": 3.9986757414393126e-05, "loss": 6.8748, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 239 }, { "epoch": 0.3072, "grad_norm": 23.26058006286621, "learning_rate": 3.9986134390159604e-05, "loss": 7.7825, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 240 }, { "epoch": 0.30848, "grad_norm": 22.978452682495117, "learning_rate": 3.998549705022613e-05, "loss": 6.9889, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 241 }, { "epoch": 0.30976, "grad_norm": 22.34441375732422, "learning_rate": 3.998484539504919e-05, "loss": 6.8629, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 242 }, { "epoch": 0.31104, "grad_norm": 21.932756423950195, "learning_rate": 3.998417942509557e-05, "loss": 6.8839, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 243 }, { "epoch": 0.31232, "grad_norm": 22.450284957885742, "learning_rate": 3.998349914084229e-05, "loss": 6.9259, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 244 }, { "epoch": 0.3136, "grad_norm": 23.43891716003418, "learning_rate": 3.998280454277663e-05, "loss": 7.4878, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 245 }, { "epoch": 0.31488, "grad_norm": 23.052759170532227, "learning_rate": 3.9982095631396103e-05, "loss": 7.1667, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 246 }, { "epoch": 0.31616, "grad_norm": 22.649972915649414, "learning_rate": 3.99813724072085e-05, "loss": 6.9043, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 247 }, { "epoch": 0.31744, "grad_norm": 26.22787094116211, "learning_rate": 3.998063487073185e-05, "loss": 7.2344, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 248 }, { "epoch": 0.31872, "grad_norm": 24.223833084106445, "learning_rate": 3.997988302249444e-05, "loss": 7.2589, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 249 }, { "epoch": 0.32, "grad_norm": 24.03826332092285, "learning_rate": 3.9979116863034804e-05, "loss": 6.7151, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 250 }, { "epoch": 0.32128, "grad_norm": 22.1760196685791, "learning_rate": 3.997833639290172e-05, "loss": 6.8348, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 251 }, { "epoch": 0.32256, "grad_norm": 22.799570083618164, "learning_rate": 3.997754161265424e-05, "loss": 7.1877, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 252 }, { "epoch": 0.32384, "grad_norm": 22.74701499938965, "learning_rate": 3.9976732522861635e-05, "loss": 6.9047, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 253 }, { "epoch": 0.32512, "grad_norm": 25.717058181762695, "learning_rate": 3.997590912410345e-05, "loss": 6.8409, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 254 }, { "epoch": 0.3264, "grad_norm": 22.052553176879883, "learning_rate": 3.997507141696947e-05, "loss": 6.5738, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 255 }, { "epoch": 0.32768, "grad_norm": 22.36299705505371, "learning_rate": 3.997421940205972e-05, "loss": 6.8109, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 256 }, { "epoch": 0.32896, "grad_norm": 22.128829956054688, "learning_rate": 3.99733530799845e-05, "loss": 6.8317, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 257 }, { "epoch": 0.33024, "grad_norm": 21.069177627563477, "learning_rate": 3.997247245136432e-05, "loss": 6.5639, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 258 }, { "epoch": 0.33152, "grad_norm": 23.52779769897461, "learning_rate": 3.997157751682997e-05, "loss": 7.0196, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 259 }, { "epoch": 0.3328, "grad_norm": 21.972795486450195, "learning_rate": 3.997066827702248e-05, "loss": 6.785, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 260 }, { "epoch": 0.33408, "grad_norm": 21.496198654174805, "learning_rate": 3.996974473259311e-05, "loss": 6.9596, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 261 }, { "epoch": 0.33536, "grad_norm": 21.91351890563965, "learning_rate": 3.996880688420339e-05, "loss": 7.0109, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 262 }, { "epoch": 0.33664, "grad_norm": 21.90863609313965, "learning_rate": 3.996785473252507e-05, "loss": 7.0055, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 263 }, { "epoch": 0.33792, "grad_norm": 20.88056182861328, "learning_rate": 3.9966888278240165e-05, "loss": 6.6538, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 264 }, { "epoch": 0.3392, "grad_norm": 21.078819274902344, "learning_rate": 3.996590752204092e-05, "loss": 6.7109, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 265 }, { "epoch": 0.34048, "grad_norm": 22.81707000732422, "learning_rate": 3.996491246462986e-05, "loss": 7.133, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 266 }, { "epoch": 0.34176, "grad_norm": 20.072166442871094, "learning_rate": 3.99639031067197e-05, "loss": 6.4326, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 267 }, { "epoch": 0.34304, "grad_norm": 22.85912322998047, "learning_rate": 3.996287944903343e-05, "loss": 6.0596, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 268 }, { "epoch": 0.34432, "grad_norm": 20.76239013671875, "learning_rate": 3.9961841492304276e-05, "loss": 6.6507, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 269 }, { "epoch": 0.3456, "grad_norm": 19.712478637695312, "learning_rate": 3.9960789237275716e-05, "loss": 6.1169, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 270 }, { "epoch": 0.34688, "grad_norm": 20.842668533325195, "learning_rate": 3.995972268470146e-05, "loss": 6.5218, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 271 }, { "epoch": 0.34816, "grad_norm": 21.406526565551758, "learning_rate": 3.9958641835345444e-05, "loss": 6.544, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 272 }, { "epoch": 0.34944, "grad_norm": 19.909154891967773, "learning_rate": 3.9957546689981876e-05, "loss": 6.3945, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 273 }, { "epoch": 0.35072, "grad_norm": 22.129980087280273, "learning_rate": 3.995643724939519e-05, "loss": 6.928, "memory/device_mem_reserved(gib)": 60.11, "memory/max_mem_active(gib)": 52.88, "memory/max_mem_allocated(gib)": 52.88, "step": 274 }, { "epoch": 0.352, "grad_norm": 22.668916702270508, "learning_rate": 3.9955313514380045e-05, "loss": 6.5359, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 275 }, { "epoch": 0.35328, "grad_norm": 22.79288101196289, "learning_rate": 3.9954175485741367e-05, "loss": 6.8124, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 276 }, { "epoch": 0.35456, "grad_norm": 22.187679290771484, "learning_rate": 3.995302316429428e-05, "loss": 6.7816, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 277 }, { "epoch": 0.35584, "grad_norm": 21.212690353393555, "learning_rate": 3.9951856550864204e-05, "loss": 6.7888, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 278 }, { "epoch": 0.35712, "grad_norm": 24.434741973876953, "learning_rate": 3.9950675646286744e-05, "loss": 6.6915, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 279 }, { "epoch": 0.3584, "grad_norm": 21.761707305908203, "learning_rate": 3.994948045140776e-05, "loss": 6.7242, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 280 }, { "epoch": 0.35968, "grad_norm": 22.063465118408203, "learning_rate": 3.994827096708334e-05, "loss": 6.6921, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 281 }, { "epoch": 0.36096, "grad_norm": 25.381757736206055, "learning_rate": 3.994704719417984e-05, "loss": 7.071, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 282 }, { "epoch": 0.36224, "grad_norm": 22.839799880981445, "learning_rate": 3.994580913357381e-05, "loss": 6.7262, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 283 }, { "epoch": 0.36352, "grad_norm": 21.8648738861084, "learning_rate": 3.9944556786152044e-05, "loss": 6.4962, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 284 }, { "epoch": 0.3648, "grad_norm": 22.52872657775879, "learning_rate": 3.9943290152811595e-05, "loss": 6.5199, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 285 }, { "epoch": 0.36608, "grad_norm": 22.2255859375, "learning_rate": 3.994200923445971e-05, "loss": 6.4911, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 286 }, { "epoch": 0.36736, "grad_norm": 22.4370174407959, "learning_rate": 3.994071403201389e-05, "loss": 6.5201, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 287 }, { "epoch": 0.36864, "grad_norm": 21.043100357055664, "learning_rate": 3.9939404546401876e-05, "loss": 6.7387, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 288 }, { "epoch": 0.36992, "grad_norm": 21.55580711364746, "learning_rate": 3.993808077856162e-05, "loss": 7.1552, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 289 }, { "epoch": 0.3712, "grad_norm": 21.072420120239258, "learning_rate": 3.993674272944131e-05, "loss": 6.5502, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 290 }, { "epoch": 0.37248, "grad_norm": 19.36728858947754, "learning_rate": 3.993539039999938e-05, "loss": 6.4182, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 291 }, { "epoch": 0.37376, "grad_norm": 22.49052619934082, "learning_rate": 3.993402379120446e-05, "loss": 6.7808, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 292 }, { "epoch": 0.37504, "grad_norm": 21.347522735595703, "learning_rate": 3.993264290403544e-05, "loss": 6.3211, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 293 }, { "epoch": 0.37632, "grad_norm": 32.576332092285156, "learning_rate": 3.9931247739481417e-05, "loss": 7.0895, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 294 }, { "epoch": 0.3776, "grad_norm": 21.317947387695312, "learning_rate": 3.992983829854172e-05, "loss": 6.7049, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 295 }, { "epoch": 0.37888, "grad_norm": 22.153427124023438, "learning_rate": 3.992841458222592e-05, "loss": 6.4801, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 296 }, { "epoch": 0.38016, "grad_norm": 21.991912841796875, "learning_rate": 3.992697659155378e-05, "loss": 6.6653, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 297 }, { "epoch": 0.38144, "grad_norm": 20.74997329711914, "learning_rate": 3.992552432755531e-05, "loss": 6.7848, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 298 }, { "epoch": 0.38272, "grad_norm": 20.77501678466797, "learning_rate": 3.992405779127076e-05, "loss": 6.372, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 299 }, { "epoch": 0.384, "grad_norm": 23.363155364990234, "learning_rate": 3.992257698375056e-05, "loss": 6.7323, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 300 }, { "epoch": 0.38528, "grad_norm": 21.8572940826416, "learning_rate": 3.992108190605539e-05, "loss": 6.5135, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 301 }, { "epoch": 0.38656, "grad_norm": 21.71173095703125, "learning_rate": 3.991957255925615e-05, "loss": 6.6936, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 302 }, { "epoch": 0.38784, "grad_norm": 23.439016342163086, "learning_rate": 3.991804894443396e-05, "loss": 6.5132, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 303 }, { "epoch": 0.38912, "grad_norm": 21.625741958618164, "learning_rate": 3.991651106268015e-05, "loss": 6.3914, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 304 }, { "epoch": 0.3904, "grad_norm": 21.49151611328125, "learning_rate": 3.9914958915096285e-05, "loss": 6.5133, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 305 }, { "epoch": 0.39168, "grad_norm": 22.34687614440918, "learning_rate": 3.991339250279414e-05, "loss": 6.5864, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 306 }, { "epoch": 0.39296, "grad_norm": 20.753013610839844, "learning_rate": 3.99118118268957e-05, "loss": 6.1739, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 307 }, { "epoch": 0.39424, "grad_norm": 22.41289520263672, "learning_rate": 3.991021688853317e-05, "loss": 6.7079, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 308 }, { "epoch": 0.39552, "grad_norm": 23.286605834960938, "learning_rate": 3.990860768884898e-05, "loss": 6.197, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 309 }, { "epoch": 0.3968, "grad_norm": 24.417795181274414, "learning_rate": 3.9906984228995776e-05, "loss": 6.4504, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 310 }, { "epoch": 0.39808, "grad_norm": 28.878108978271484, "learning_rate": 3.990534651013641e-05, "loss": 7.0139, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 311 }, { "epoch": 0.39936, "grad_norm": 27.087127685546875, "learning_rate": 3.990369453344394e-05, "loss": 6.9705, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 312 }, { "epoch": 0.40064, "grad_norm": 39.3398551940918, "learning_rate": 3.990202830010166e-05, "loss": 6.6811, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 313 }, { "epoch": 0.40192, "grad_norm": 37.336788177490234, "learning_rate": 3.9900347811303055e-05, "loss": 6.6503, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 314 }, { "epoch": 0.4032, "grad_norm": 119.34093475341797, "learning_rate": 3.989865306825183e-05, "loss": 6.4789, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 315 }, { "epoch": 0.40448, "grad_norm": 24.357688903808594, "learning_rate": 3.98969440721619e-05, "loss": 6.4602, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 316 }, { "epoch": 0.40576, "grad_norm": 21.59403419494629, "learning_rate": 3.989522082425738e-05, "loss": 6.6188, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 317 }, { "epoch": 0.40704, "grad_norm": 20.86237335205078, "learning_rate": 3.9893483325772606e-05, "loss": 6.3126, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 318 }, { "epoch": 0.40832, "grad_norm": 22.315074920654297, "learning_rate": 3.989173157795212e-05, "loss": 6.6409, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 319 }, { "epoch": 0.4096, "grad_norm": 21.124141693115234, "learning_rate": 3.988996558205067e-05, "loss": 6.4313, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 320 }, { "epoch": 0.41088, "grad_norm": 20.984912872314453, "learning_rate": 3.9888185339333184e-05, "loss": 6.4516, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 321 }, { "epoch": 0.41216, "grad_norm": 20.99149513244629, "learning_rate": 3.9886390851074844e-05, "loss": 6.4736, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 322 }, { "epoch": 0.41344, "grad_norm": 21.568199157714844, "learning_rate": 3.988458211856099e-05, "loss": 6.9002, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 323 }, { "epoch": 0.41472, "grad_norm": 22.357879638671875, "learning_rate": 3.9882759143087194e-05, "loss": 6.4091, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 324 }, { "epoch": 0.416, "grad_norm": 22.006786346435547, "learning_rate": 3.988092192595922e-05, "loss": 7.2139, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 325 }, { "epoch": 0.41728, "grad_norm": 22.604860305786133, "learning_rate": 3.987907046849302e-05, "loss": 6.262, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 326 }, { "epoch": 0.41856, "grad_norm": 21.159343719482422, "learning_rate": 3.987720477201478e-05, "loss": 6.4455, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 327 }, { "epoch": 0.41984, "grad_norm": 20.162385940551758, "learning_rate": 3.987532483786084e-05, "loss": 6.1894, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 328 }, { "epoch": 0.42112, "grad_norm": 21.085346221923828, "learning_rate": 3.9873430667377787e-05, "loss": 6.2715, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 329 }, { "epoch": 0.4224, "grad_norm": 20.677459716796875, "learning_rate": 3.987152226192236e-05, "loss": 6.351, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 330 }, { "epoch": 0.42368, "grad_norm": 20.538774490356445, "learning_rate": 3.986959962286153e-05, "loss": 6.5263, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 331 }, { "epoch": 0.42496, "grad_norm": 19.77875518798828, "learning_rate": 3.9867662751572436e-05, "loss": 6.4441, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 332 }, { "epoch": 0.42624, "grad_norm": 20.489166259765625, "learning_rate": 3.9865711649442424e-05, "loss": 6.2073, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 333 }, { "epoch": 0.42752, "grad_norm": 19.647993087768555, "learning_rate": 3.9863746317869044e-05, "loss": 6.573, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 334 }, { "epoch": 0.4288, "grad_norm": 20.25113296508789, "learning_rate": 3.986176675826001e-05, "loss": 6.131, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 335 }, { "epoch": 0.43008, "grad_norm": 21.68616485595703, "learning_rate": 3.985977297203326e-05, "loss": 6.8068, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 336 }, { "epoch": 0.43136, "grad_norm": 20.365386962890625, "learning_rate": 3.9857764960616906e-05, "loss": 6.0563, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 337 }, { "epoch": 0.43264, "grad_norm": 20.34644317626953, "learning_rate": 3.985574272544923e-05, "loss": 6.4404, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 338 }, { "epoch": 0.43392, "grad_norm": 21.060604095458984, "learning_rate": 3.9853706267978745e-05, "loss": 6.1855, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 339 }, { "epoch": 0.4352, "grad_norm": 22.390108108520508, "learning_rate": 3.9851655589664114e-05, "loss": 6.6389, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 340 }, { "epoch": 0.43648, "grad_norm": 20.15906524658203, "learning_rate": 3.9849590691974206e-05, "loss": 6.6143, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 341 }, { "epoch": 0.43776, "grad_norm": 20.234460830688477, "learning_rate": 3.984751157638806e-05, "loss": 6.0187, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 342 }, { "epoch": 0.43904, "grad_norm": 21.274229049682617, "learning_rate": 3.9845418244394923e-05, "loss": 6.8752, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 343 }, { "epoch": 0.44032, "grad_norm": 20.20880126953125, "learning_rate": 3.98433106974942e-05, "loss": 6.3453, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 344 }, { "epoch": 0.4416, "grad_norm": 20.95511245727539, "learning_rate": 3.984118893719549e-05, "loss": 6.3235, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 345 }, { "epoch": 0.44288, "grad_norm": 20.934804916381836, "learning_rate": 3.9839052965018584e-05, "loss": 6.3197, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 346 }, { "epoch": 0.44416, "grad_norm": 21.885129928588867, "learning_rate": 3.983690278249341e-05, "loss": 6.5991, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 347 }, { "epoch": 0.44544, "grad_norm": 20.664875030517578, "learning_rate": 3.9834738391160124e-05, "loss": 6.5971, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 348 }, { "epoch": 0.44672, "grad_norm": 19.88713836669922, "learning_rate": 3.9832559792569044e-05, "loss": 6.3611, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 349 }, { "epoch": 0.448, "grad_norm": 21.54277992248535, "learning_rate": 3.9830366988280656e-05, "loss": 6.0884, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 350 }, { "epoch": 0.44928, "grad_norm": 22.05340003967285, "learning_rate": 3.982815997986561e-05, "loss": 6.2816, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 351 }, { "epoch": 0.45056, "grad_norm": 22.086143493652344, "learning_rate": 3.982593876890477e-05, "loss": 6.6089, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 352 }, { "epoch": 0.45184, "grad_norm": 21.410781860351562, "learning_rate": 3.982370335698913e-05, "loss": 6.6223, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 353 }, { "epoch": 0.45312, "grad_norm": 21.84194564819336, "learning_rate": 3.9821453745719875e-05, "loss": 6.2634, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 354 }, { "epoch": 0.4544, "grad_norm": 19.936857223510742, "learning_rate": 3.981918993670837e-05, "loss": 6.1059, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 355 }, { "epoch": 0.45568, "grad_norm": 27.875343322753906, "learning_rate": 3.981691193157614e-05, "loss": 6.108, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 356 }, { "epoch": 0.45696, "grad_norm": 19.812192916870117, "learning_rate": 3.981461973195486e-05, "loss": 6.5855, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 357 }, { "epoch": 0.45824, "grad_norm": 19.764385223388672, "learning_rate": 3.981231333948643e-05, "loss": 5.9992, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 358 }, { "epoch": 0.45952, "grad_norm": 20.391008377075195, "learning_rate": 3.980999275582283e-05, "loss": 6.5025, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 359 }, { "epoch": 0.4608, "grad_norm": 20.668842315673828, "learning_rate": 3.980765798262628e-05, "loss": 6.2796, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 360 }, { "epoch": 0.46208, "grad_norm": 21.431312561035156, "learning_rate": 3.980530902156912e-05, "loss": 6.379, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 361 }, { "epoch": 0.46336, "grad_norm": 19.068552017211914, "learning_rate": 3.980294587433387e-05, "loss": 6.296, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 362 }, { "epoch": 0.46464, "grad_norm": 19.444564819335938, "learning_rate": 3.980056854261323e-05, "loss": 6.3325, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 363 }, { "epoch": 0.46592, "grad_norm": 20.605236053466797, "learning_rate": 3.979817702811001e-05, "loss": 6.0211, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 364 }, { "epoch": 0.4672, "grad_norm": 20.75714874267578, "learning_rate": 3.9795771332537224e-05, "loss": 6.5401, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 365 }, { "epoch": 0.46848, "grad_norm": 19.418676376342773, "learning_rate": 3.979335145761802e-05, "loss": 6.0853, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 366 }, { "epoch": 0.46976, "grad_norm": 20.199886322021484, "learning_rate": 3.979091740508571e-05, "loss": 6.5736, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 367 }, { "epoch": 0.47104, "grad_norm": 22.886728286743164, "learning_rate": 3.978846917668378e-05, "loss": 6.4591, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 368 }, { "epoch": 0.47232, "grad_norm": 22.854528427124023, "learning_rate": 3.978600677416582e-05, "loss": 6.1477, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 369 }, { "epoch": 0.4736, "grad_norm": 21.844877243041992, "learning_rate": 3.978353019929562e-05, "loss": 6.7629, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 370 }, { "epoch": 0.47488, "grad_norm": 20.46142578125, "learning_rate": 3.9781039453847115e-05, "loss": 6.1559, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 371 }, { "epoch": 0.47616, "grad_norm": 21.0777587890625, "learning_rate": 3.977853453960436e-05, "loss": 6.1403, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 372 }, { "epoch": 0.47744, "grad_norm": 21.857192993164062, "learning_rate": 3.977601545836158e-05, "loss": 6.415, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 373 }, { "epoch": 0.47872, "grad_norm": 20.07280158996582, "learning_rate": 3.977348221192316e-05, "loss": 6.1103, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 374 }, { "epoch": 0.48, "grad_norm": 31.46121597290039, "learning_rate": 3.977093480210362e-05, "loss": 6.4578, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 375 }, { "epoch": 0.48128, "grad_norm": 19.788087844848633, "learning_rate": 3.9768373230727604e-05, "loss": 6.1103, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 376 }, { "epoch": 0.48256, "grad_norm": 18.91425323486328, "learning_rate": 3.9765797499629936e-05, "loss": 6.7165, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 377 }, { "epoch": 0.48384, "grad_norm": 21.997814178466797, "learning_rate": 3.9763207610655554e-05, "loss": 5.9304, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 378 }, { "epoch": 0.48512, "grad_norm": 29.57729148864746, "learning_rate": 3.9760603565659554e-05, "loss": 6.2138, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 379 }, { "epoch": 0.4864, "grad_norm": 19.161972045898438, "learning_rate": 3.9757985366507165e-05, "loss": 6.4792, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 380 }, { "epoch": 0.48768, "grad_norm": 19.569795608520508, "learning_rate": 3.9755353015073744e-05, "loss": 6.295, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 381 }, { "epoch": 0.48896, "grad_norm": 18.748554229736328, "learning_rate": 3.975270651324482e-05, "loss": 6.1311, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 382 }, { "epoch": 0.49024, "grad_norm": 20.83612632751465, "learning_rate": 3.975004586291601e-05, "loss": 6.3211, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 383 }, { "epoch": 0.49152, "grad_norm": 20.916767120361328, "learning_rate": 3.9747371065993095e-05, "loss": 5.9954, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 384 }, { "epoch": 0.4928, "grad_norm": 21.862009048461914, "learning_rate": 3.974468212439198e-05, "loss": 6.1302, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 385 }, { "epoch": 0.49408, "grad_norm": 20.644859313964844, "learning_rate": 3.9741979040038715e-05, "loss": 6.4019, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 386 }, { "epoch": 0.49536, "grad_norm": 20.636472702026367, "learning_rate": 3.973926181486946e-05, "loss": 6.1113, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 387 }, { "epoch": 0.49664, "grad_norm": 19.446123123168945, "learning_rate": 3.9736530450830525e-05, "loss": 6.311, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 388 }, { "epoch": 0.49792, "grad_norm": 18.999460220336914, "learning_rate": 3.9733784949878324e-05, "loss": 6.4813, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 389 }, { "epoch": 0.4992, "grad_norm": 20.348026275634766, "learning_rate": 3.973102531397941e-05, "loss": 6.1508, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 390 }, { "epoch": 0.50048, "grad_norm": 22.169872283935547, "learning_rate": 3.972825154511047e-05, "loss": 6.0966, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 391 }, { "epoch": 0.50176, "grad_norm": 19.66478729248047, "learning_rate": 3.972546364525829e-05, "loss": 6.5444, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 392 }, { "epoch": 0.50304, "grad_norm": 19.28756332397461, "learning_rate": 3.9722661616419796e-05, "loss": 6.2993, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 393 }, { "epoch": 0.50432, "grad_norm": 20.283119201660156, "learning_rate": 3.9719845460602024e-05, "loss": 6.1934, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 394 }, { "epoch": 0.5056, "grad_norm": 20.524158477783203, "learning_rate": 3.9717015179822154e-05, "loss": 6.5234, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 395 }, { "epoch": 0.50688, "grad_norm": 19.7061824798584, "learning_rate": 3.971417077610745e-05, "loss": 5.9254, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 396 }, { "epoch": 0.50816, "grad_norm": 19.456958770751953, "learning_rate": 3.971131225149529e-05, "loss": 6.1447, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 397 }, { "epoch": 0.50944, "grad_norm": 18.848928451538086, "learning_rate": 3.970843960803322e-05, "loss": 6.6824, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 398 }, { "epoch": 0.51072, "grad_norm": 18.733970642089844, "learning_rate": 3.970555284777883e-05, "loss": 5.2084, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 399 }, { "epoch": 0.512, "grad_norm": 19.47762680053711, "learning_rate": 3.9702651972799865e-05, "loss": 6.4099, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 400 }, { "epoch": 0.51328, "grad_norm": 19.767183303833008, "learning_rate": 3.969973698517417e-05, "loss": 5.7279, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 401 }, { "epoch": 0.51456, "grad_norm": 21.807697296142578, "learning_rate": 3.9696807886989695e-05, "loss": 5.9107, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 402 }, { "epoch": 0.51584, "grad_norm": 19.52760887145996, "learning_rate": 3.96938646803445e-05, "loss": 5.9165, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 403 }, { "epoch": 0.51712, "grad_norm": 20.342092514038086, "learning_rate": 3.969090736734674e-05, "loss": 6.1013, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 404 }, { "epoch": 0.5184, "grad_norm": 22.728498458862305, "learning_rate": 3.96879359501147e-05, "loss": 6.121, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 405 }, { "epoch": 0.51968, "grad_norm": 22.146751403808594, "learning_rate": 3.968495043077674e-05, "loss": 6.2073, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 406 }, { "epoch": 0.52096, "grad_norm": 27.487319946289062, "learning_rate": 3.968195081147135e-05, "loss": 6.2002, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 407 }, { "epoch": 0.52224, "grad_norm": 19.937543869018555, "learning_rate": 3.967893709434707e-05, "loss": 6.4539, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 408 }, { "epoch": 0.52352, "grad_norm": 19.664949417114258, "learning_rate": 3.967590928156259e-05, "loss": 6.6514, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 409 }, { "epoch": 0.5248, "grad_norm": 22.7536678314209, "learning_rate": 3.967286737528668e-05, "loss": 6.1917, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 410 }, { "epoch": 0.52608, "grad_norm": 21.427997589111328, "learning_rate": 3.96698113776982e-05, "loss": 6.4744, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 411 }, { "epoch": 0.52736, "grad_norm": 20.872337341308594, "learning_rate": 3.96667412909861e-05, "loss": 6.0311, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 412 }, { "epoch": 0.52864, "grad_norm": 20.568201065063477, "learning_rate": 3.966365711734942e-05, "loss": 5.3044, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 413 }, { "epoch": 0.52992, "grad_norm": 19.999897003173828, "learning_rate": 3.966055885899731e-05, "loss": 5.9758, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 414 }, { "epoch": 0.5312, "grad_norm": 25.947858810424805, "learning_rate": 3.965744651814899e-05, "loss": 6.1483, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 415 }, { "epoch": 0.53248, "grad_norm": 19.607742309570312, "learning_rate": 3.965432009703377e-05, "loss": 6.5185, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 416 }, { "epoch": 0.53376, "grad_norm": 20.55301284790039, "learning_rate": 3.9651179597891054e-05, "loss": 6.3322, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 417 }, { "epoch": 0.53504, "grad_norm": 21.177858352661133, "learning_rate": 3.964802502297031e-05, "loss": 6.3212, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 418 }, { "epoch": 0.53632, "grad_norm": 20.692035675048828, "learning_rate": 3.9644856374531125e-05, "loss": 5.7931, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 419 }, { "epoch": 0.5376, "grad_norm": 20.92279624938965, "learning_rate": 3.964167365484312e-05, "loss": 5.8614, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 420 }, { "epoch": 0.53888, "grad_norm": 20.993104934692383, "learning_rate": 3.9638476866186034e-05, "loss": 6.433, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 421 }, { "epoch": 0.54016, "grad_norm": 21.18912124633789, "learning_rate": 3.963526601084966e-05, "loss": 5.7774, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 422 }, { "epoch": 0.54144, "grad_norm": 25.1855411529541, "learning_rate": 3.963204109113388e-05, "loss": 5.8996, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 423 }, { "epoch": 0.54272, "grad_norm": 21.216567993164062, "learning_rate": 3.962880210934864e-05, "loss": 6.0484, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 424 }, { "epoch": 0.544, "grad_norm": 24.026193618774414, "learning_rate": 3.962554906781397e-05, "loss": 5.582, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 425 }, { "epoch": 0.54528, "grad_norm": 21.320262908935547, "learning_rate": 3.962228196885995e-05, "loss": 6.0339, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 426 }, { "epoch": 0.54656, "grad_norm": 21.33190155029297, "learning_rate": 3.961900081482676e-05, "loss": 5.9405, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 427 }, { "epoch": 0.54784, "grad_norm": 19.389625549316406, "learning_rate": 3.961570560806461e-05, "loss": 6.1201, "memory/device_mem_reserved(gib)": 60.16, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 428 }, { "epoch": 0.54912, "grad_norm": 19.373554229736328, "learning_rate": 3.961239635093382e-05, "loss": 6.603, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 429 }, { "epoch": 0.5504, "grad_norm": 18.95600128173828, "learning_rate": 3.960907304580473e-05, "loss": 5.3974, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 430 }, { "epoch": 0.55168, "grad_norm": 19.432409286499023, "learning_rate": 3.960573569505777e-05, "loss": 5.8777, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 431 }, { "epoch": 0.55296, "grad_norm": 19.89351463317871, "learning_rate": 3.960238430108342e-05, "loss": 6.0557, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 432 }, { "epoch": 0.55424, "grad_norm": 20.244544982910156, "learning_rate": 3.959901886628223e-05, "loss": 6.1157, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 433 }, { "epoch": 0.55552, "grad_norm": 19.586198806762695, "learning_rate": 3.959563939306478e-05, "loss": 6.395, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 434 }, { "epoch": 0.5568, "grad_norm": 19.197935104370117, "learning_rate": 3.9592245883851755e-05, "loss": 5.6564, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 435 }, { "epoch": 0.55808, "grad_norm": 19.000816345214844, "learning_rate": 3.9588838341073835e-05, "loss": 6.159, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 436 }, { "epoch": 0.55936, "grad_norm": 19.581340789794922, "learning_rate": 3.95854167671718e-05, "loss": 5.9088, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 437 }, { "epoch": 0.56064, "grad_norm": 19.946657180786133, "learning_rate": 3.958198116459644e-05, "loss": 6.5447, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 438 }, { "epoch": 0.56192, "grad_norm": 23.653989791870117, "learning_rate": 3.957853153580863e-05, "loss": 6.5303, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 439 }, { "epoch": 0.5632, "grad_norm": 19.232128143310547, "learning_rate": 3.957506788327928e-05, "loss": 6.3537, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 440 }, { "epoch": 0.56448, "grad_norm": 22.04155731201172, "learning_rate": 3.957159020948932e-05, "loss": 6.3171, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 441 }, { "epoch": 0.56576, "grad_norm": 19.553993225097656, "learning_rate": 3.956809851692976e-05, "loss": 5.9358, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 442 }, { "epoch": 0.56704, "grad_norm": 17.756013870239258, "learning_rate": 3.956459280810163e-05, "loss": 6.0309, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 443 }, { "epoch": 0.56832, "grad_norm": 18.69989013671875, "learning_rate": 3.9561073085516e-05, "loss": 6.4054, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 444 }, { "epoch": 0.5696, "grad_norm": 31.680652618408203, "learning_rate": 3.955753935169399e-05, "loss": 5.6564, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 445 }, { "epoch": 0.57088, "grad_norm": 20.01165771484375, "learning_rate": 3.955399160916674e-05, "loss": 5.8005, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 446 }, { "epoch": 0.57216, "grad_norm": 20.172931671142578, "learning_rate": 3.955042986047545e-05, "loss": 5.9138, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 447 }, { "epoch": 0.57344, "grad_norm": 19.010622024536133, "learning_rate": 3.954685410817131e-05, "loss": 5.9345, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 448 }, { "epoch": 0.57472, "grad_norm": 19.30303955078125, "learning_rate": 3.954326435481559e-05, "loss": 6.1068, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 449 }, { "epoch": 0.576, "grad_norm": 18.205854415893555, "learning_rate": 3.953966060297954e-05, "loss": 6.0095, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 450 }, { "epoch": 0.57728, "grad_norm": 19.73492431640625, "learning_rate": 3.953604285524448e-05, "loss": 5.8839, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 451 }, { "epoch": 0.57856, "grad_norm": 19.128559112548828, "learning_rate": 3.953241111420174e-05, "loss": 5.9155, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 452 }, { "epoch": 0.57984, "grad_norm": 17.90361976623535, "learning_rate": 3.9528765382452646e-05, "loss": 5.9427, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 453 }, { "epoch": 0.58112, "grad_norm": 19.522977828979492, "learning_rate": 3.952510566260859e-05, "loss": 6.1519, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 454 }, { "epoch": 0.5824, "grad_norm": 20.173091888427734, "learning_rate": 3.952143195729095e-05, "loss": 5.9569, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 455 }, { "epoch": 0.58368, "grad_norm": 18.823591232299805, "learning_rate": 3.9517744269131136e-05, "loss": 5.768, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 456 }, { "epoch": 0.58496, "grad_norm": 20.20696449279785, "learning_rate": 3.9514042600770576e-05, "loss": 5.5258, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 457 }, { "epoch": 0.58624, "grad_norm": 19.915019989013672, "learning_rate": 3.951032695486069e-05, "loss": 5.984, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 458 }, { "epoch": 0.58752, "grad_norm": 18.637203216552734, "learning_rate": 3.950659733406296e-05, "loss": 5.664, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 459 }, { "epoch": 0.5888, "grad_norm": 18.940326690673828, "learning_rate": 3.950285374104882e-05, "loss": 5.9794, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 460 }, { "epoch": 0.59008, "grad_norm": 17.038206100463867, "learning_rate": 3.949909617849973e-05, "loss": 5.8265, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 461 }, { "epoch": 0.59136, "grad_norm": 20.5816593170166, "learning_rate": 3.9495324649107185e-05, "loss": 6.262, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 462 }, { "epoch": 0.59264, "grad_norm": 19.445350646972656, "learning_rate": 3.9491539155572644e-05, "loss": 5.7306, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 463 }, { "epoch": 0.59392, "grad_norm": 21.799280166625977, "learning_rate": 3.94877397006076e-05, "loss": 5.8201, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 464 }, { "epoch": 0.5952, "grad_norm": 18.516223907470703, "learning_rate": 3.948392628693352e-05, "loss": 5.6856, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 465 }, { "epoch": 0.59648, "grad_norm": 19.939346313476562, "learning_rate": 3.9480098917281885e-05, "loss": 5.7972, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 466 }, { "epoch": 0.59776, "grad_norm": 19.261959075927734, "learning_rate": 3.947625759439418e-05, "loss": 5.9857, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 467 }, { "epoch": 0.59904, "grad_norm": 18.82501792907715, "learning_rate": 3.9472402321021866e-05, "loss": 6.0412, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 468 }, { "epoch": 0.60032, "grad_norm": 19.041059494018555, "learning_rate": 3.94685330999264e-05, "loss": 5.7353, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 469 }, { "epoch": 0.6016, "grad_norm": 19.683013916015625, "learning_rate": 3.946464993387924e-05, "loss": 5.922, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 470 }, { "epoch": 0.60288, "grad_norm": 18.772722244262695, "learning_rate": 3.946075282566183e-05, "loss": 6.1012, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 471 }, { "epoch": 0.60416, "grad_norm": 19.08270263671875, "learning_rate": 3.9456841778065584e-05, "loss": 5.7554, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 472 }, { "epoch": 0.60544, "grad_norm": 20.108076095581055, "learning_rate": 3.945291679389192e-05, "loss": 5.9233, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 473 }, { "epoch": 0.60672, "grad_norm": 18.80276870727539, "learning_rate": 3.944897787595224e-05, "loss": 6.2991, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 474 }, { "epoch": 0.608, "grad_norm": 19.11871337890625, "learning_rate": 3.9445025027067915e-05, "loss": 5.6849, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 475 }, { "epoch": 0.60928, "grad_norm": 20.720623016357422, "learning_rate": 3.9441058250070285e-05, "loss": 6.0078, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 476 }, { "epoch": 0.61056, "grad_norm": 20.13146209716797, "learning_rate": 3.943707754780069e-05, "loss": 6.117, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 477 }, { "epoch": 0.61184, "grad_norm": 20.55091094970703, "learning_rate": 3.9433082923110436e-05, "loss": 5.7053, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 478 }, { "epoch": 0.61312, "grad_norm": 20.776029586791992, "learning_rate": 3.942907437886079e-05, "loss": 5.7913, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 479 }, { "epoch": 0.6144, "grad_norm": 20.762832641601562, "learning_rate": 3.9425051917923e-05, "loss": 5.6649, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 480 }, { "epoch": 0.61568, "grad_norm": 20.42125701904297, "learning_rate": 3.942101554317829e-05, "loss": 5.5552, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 481 }, { "epoch": 0.61696, "grad_norm": 20.672950744628906, "learning_rate": 3.941696525751783e-05, "loss": 5.6915, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 482 }, { "epoch": 0.61824, "grad_norm": 19.705785751342773, "learning_rate": 3.9412901063842784e-05, "loss": 5.7014, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 483 }, { "epoch": 0.61952, "grad_norm": 18.53298568725586, "learning_rate": 3.940882296506423e-05, "loss": 5.8893, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 484 }, { "epoch": 0.6208, "grad_norm": 19.75603675842285, "learning_rate": 3.9404730964103256e-05, "loss": 5.7927, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 485 }, { "epoch": 0.62208, "grad_norm": 19.347049713134766, "learning_rate": 3.940062506389089e-05, "loss": 5.6242, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 486 }, { "epoch": 0.62336, "grad_norm": 20.59558868408203, "learning_rate": 3.9396505267368086e-05, "loss": 5.6941, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 487 }, { "epoch": 0.62464, "grad_norm": 21.783052444458008, "learning_rate": 3.939237157748581e-05, "loss": 5.6846, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 488 }, { "epoch": 0.62592, "grad_norm": 19.71246337890625, "learning_rate": 3.938822399720493e-05, "loss": 5.7617, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 489 }, { "epoch": 0.6272, "grad_norm": 19.220129013061523, "learning_rate": 3.9384062529496285e-05, "loss": 6.1741, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 490 }, { "epoch": 0.62848, "grad_norm": 19.574247360229492, "learning_rate": 3.9379887177340656e-05, "loss": 5.7257, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 491 }, { "epoch": 0.62976, "grad_norm": 18.399044036865234, "learning_rate": 3.937569794372878e-05, "loss": 5.4344, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 492 }, { "epoch": 0.63104, "grad_norm": 18.749160766601562, "learning_rate": 3.937149483166131e-05, "loss": 5.8391, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 493 }, { "epoch": 0.63232, "grad_norm": 19.166719436645508, "learning_rate": 3.936727784414888e-05, "loss": 5.6355, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 494 }, { "epoch": 0.6336, "grad_norm": 19.46558380126953, "learning_rate": 3.936304698421202e-05, "loss": 5.7005, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 495 }, { "epoch": 0.63488, "grad_norm": 19.10729217529297, "learning_rate": 3.935880225488124e-05, "loss": 6.1522, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 496 }, { "epoch": 0.63616, "grad_norm": 19.42011833190918, "learning_rate": 3.935454365919693e-05, "loss": 6.1414, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 497 }, { "epoch": 0.63744, "grad_norm": 18.118671417236328, "learning_rate": 3.9350271200209473e-05, "loss": 5.5501, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 498 }, { "epoch": 0.63872, "grad_norm": 18.62711524963379, "learning_rate": 3.9345984880979136e-05, "loss": 5.6866, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 499 }, { "epoch": 0.64, "grad_norm": 19.485124588012695, "learning_rate": 3.934168470457614e-05, "loss": 5.8689, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 500 }, { "epoch": 0.64128, "grad_norm": 19.173433303833008, "learning_rate": 3.9337370674080615e-05, "loss": 5.5719, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 501 }, { "epoch": 0.64256, "grad_norm": 19.194740295410156, "learning_rate": 3.9333042792582626e-05, "loss": 5.7693, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 502 }, { "epoch": 0.64384, "grad_norm": 18.363584518432617, "learning_rate": 3.932870106318215e-05, "loss": 6.0918, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 503 }, { "epoch": 0.64512, "grad_norm": 20.051334381103516, "learning_rate": 3.9324345488989093e-05, "loss": 5.9058, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 504 }, { "epoch": 0.6464, "grad_norm": 17.451433181762695, "learning_rate": 3.931997607312327e-05, "loss": 5.5999, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 505 }, { "epoch": 0.64768, "grad_norm": 17.869312286376953, "learning_rate": 3.931559281871441e-05, "loss": 5.7251, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 506 }, { "epoch": 0.64896, "grad_norm": 19.086610794067383, "learning_rate": 3.9311195728902165e-05, "loss": 6.117, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 507 }, { "epoch": 0.65024, "grad_norm": 17.76173210144043, "learning_rate": 3.930678480683609e-05, "loss": 5.3585, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 508 }, { "epoch": 0.65152, "grad_norm": 20.33535385131836, "learning_rate": 3.9302360055675634e-05, "loss": 6.3287, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 509 }, { "epoch": 0.6528, "grad_norm": 18.515377044677734, "learning_rate": 3.9297921478590176e-05, "loss": 5.7671, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 510 }, { "epoch": 0.65408, "grad_norm": 24.065311431884766, "learning_rate": 3.929346907875899e-05, "loss": 5.697, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 511 }, { "epoch": 0.65536, "grad_norm": 18.670684814453125, "learning_rate": 3.928900285937124e-05, "loss": 5.6611, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 512 }, { "epoch": 0.65664, "grad_norm": 17.022871017456055, "learning_rate": 3.928452282362599e-05, "loss": 5.8634, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 513 }, { "epoch": 0.65792, "grad_norm": 19.254667282104492, "learning_rate": 3.928002897473223e-05, "loss": 5.8379, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 514 }, { "epoch": 0.6592, "grad_norm": 18.254606246948242, "learning_rate": 3.92755213159088e-05, "loss": 5.7457, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 515 }, { "epoch": 0.66048, "grad_norm": 19.408599853515625, "learning_rate": 3.927099985038446e-05, "loss": 5.6321, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 516 }, { "epoch": 0.66176, "grad_norm": 69.1635971069336, "learning_rate": 3.926646458139786e-05, "loss": 5.0844, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 517 }, { "epoch": 0.66304, "grad_norm": 19.104530334472656, "learning_rate": 3.9261915512197515e-05, "loss": 5.4133, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 518 }, { "epoch": 0.66432, "grad_norm": 19.627405166625977, "learning_rate": 3.9257352646041844e-05, "loss": 5.8373, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 519 }, { "epoch": 0.6656, "grad_norm": 19.769548416137695, "learning_rate": 3.925277598619916e-05, "loss": 5.7816, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 520 }, { "epoch": 0.66688, "grad_norm": 20.77670669555664, "learning_rate": 3.9248185535947616e-05, "loss": 5.9649, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 521 }, { "epoch": 0.66816, "grad_norm": 18.6739501953125, "learning_rate": 3.9243581298575285e-05, "loss": 5.8579, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 522 }, { "epoch": 0.66944, "grad_norm": 22.91567611694336, "learning_rate": 3.923896327738009e-05, "loss": 6.1512, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 523 }, { "epoch": 0.67072, "grad_norm": 22.48795509338379, "learning_rate": 3.923433147566983e-05, "loss": 5.2267, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 524 }, { "epoch": 0.672, "grad_norm": 18.40648078918457, "learning_rate": 3.9229685896762184e-05, "loss": 6.1837, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 525 }, { "epoch": 0.67328, "grad_norm": 18.95386505126953, "learning_rate": 3.92250265439847e-05, "loss": 5.7763, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 526 }, { "epoch": 0.67456, "grad_norm": 19.349044799804688, "learning_rate": 3.922035342067478e-05, "loss": 6.0651, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 527 }, { "epoch": 0.67584, "grad_norm": 19.463848114013672, "learning_rate": 3.92156665301797e-05, "loss": 5.356, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 528 }, { "epoch": 0.67712, "grad_norm": 19.460695266723633, "learning_rate": 3.921096587585658e-05, "loss": 5.4469, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 529 }, { "epoch": 0.6784, "grad_norm": 17.915481567382812, "learning_rate": 3.920625146107244e-05, "loss": 5.6494, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 530 }, { "epoch": 0.67968, "grad_norm": 19.503156661987305, "learning_rate": 3.92015232892041e-05, "loss": 5.883, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 531 }, { "epoch": 0.68096, "grad_norm": 19.211360931396484, "learning_rate": 3.9196781363638277e-05, "loss": 5.7013, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 532 }, { "epoch": 0.68224, "grad_norm": 16.862369537353516, "learning_rate": 3.9192025687771524e-05, "loss": 5.8644, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 533 }, { "epoch": 0.68352, "grad_norm": 16.296863555908203, "learning_rate": 3.918725626501024e-05, "loss": 5.7837, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 534 }, { "epoch": 0.6848, "grad_norm": 17.47254180908203, "learning_rate": 3.918247309877068e-05, "loss": 5.5965, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 535 }, { "epoch": 0.68608, "grad_norm": 18.28514862060547, "learning_rate": 3.917767619247893e-05, "loss": 6.1476, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 536 }, { "epoch": 0.68736, "grad_norm": 18.515121459960938, "learning_rate": 3.917286554957094e-05, "loss": 5.8191, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 537 }, { "epoch": 0.68864, "grad_norm": 18.923765182495117, "learning_rate": 3.916804117349246e-05, "loss": 5.8227, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 538 }, { "epoch": 0.68992, "grad_norm": 19.105815887451172, "learning_rate": 3.916320306769913e-05, "loss": 5.6374, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 539 }, { "epoch": 0.6912, "grad_norm": 18.28534698486328, "learning_rate": 3.915835123565638e-05, "loss": 5.6975, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 540 }, { "epoch": 0.69248, "grad_norm": 20.007129669189453, "learning_rate": 3.915348568083948e-05, "loss": 5.5894, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 541 }, { "epoch": 0.69376, "grad_norm": 18.692174911499023, "learning_rate": 3.914860640673356e-05, "loss": 5.7596, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 542 }, { "epoch": 0.69504, "grad_norm": 18.036956787109375, "learning_rate": 3.914371341683354e-05, "loss": 5.6882, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 543 }, { "epoch": 0.69632, "grad_norm": 20.9152889251709, "learning_rate": 3.913880671464418e-05, "loss": 5.5311, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 544 }, { "epoch": 0.6976, "grad_norm": 21.876195907592773, "learning_rate": 3.9133886303680065e-05, "loss": 5.6245, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 545 }, { "epoch": 0.69888, "grad_norm": 18.740903854370117, "learning_rate": 3.912895218746559e-05, "loss": 5.5093, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 546 }, { "epoch": 0.70016, "grad_norm": 18.98645782470703, "learning_rate": 3.912400436953497e-05, "loss": 5.5299, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 547 }, { "epoch": 0.70144, "grad_norm": 23.17906951904297, "learning_rate": 3.911904285343224e-05, "loss": 5.799, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 548 }, { "epoch": 0.70272, "grad_norm": 18.83220100402832, "learning_rate": 3.9114067642711235e-05, "loss": 5.3928, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 549 }, { "epoch": 0.704, "grad_norm": 17.634794235229492, "learning_rate": 3.910907874093562e-05, "loss": 5.2961, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 550 }, { "epoch": 0.70528, "grad_norm": 17.568309783935547, "learning_rate": 3.9104076151678845e-05, "loss": 5.7114, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 551 }, { "epoch": 0.70656, "grad_norm": 19.087968826293945, "learning_rate": 3.909905987852417e-05, "loss": 5.2612, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 552 }, { "epoch": 0.70784, "grad_norm": 18.84988784790039, "learning_rate": 3.9094029925064666e-05, "loss": 5.8568, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 553 }, { "epoch": 0.70912, "grad_norm": 18.354707717895508, "learning_rate": 3.9088986294903194e-05, "loss": 5.9873, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 554 }, { "epoch": 0.7104, "grad_norm": 18.67388343811035, "learning_rate": 3.9083928991652415e-05, "loss": 5.8164, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 555 }, { "epoch": 0.71168, "grad_norm": 17.076007843017578, "learning_rate": 3.907885801893478e-05, "loss": 5.5156, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 556 }, { "epoch": 0.71296, "grad_norm": 16.264097213745117, "learning_rate": 3.907377338038253e-05, "loss": 5.6373, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 557 }, { "epoch": 0.71424, "grad_norm": 18.754535675048828, "learning_rate": 3.90686750796377e-05, "loss": 5.6677, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 558 }, { "epoch": 0.71552, "grad_norm": 17.7176456451416, "learning_rate": 3.906356312035211e-05, "loss": 5.3656, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 559 }, { "epoch": 0.7168, "grad_norm": 18.218963623046875, "learning_rate": 3.9058437506187363e-05, "loss": 5.7307, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 560 }, { "epoch": 0.71808, "grad_norm": 20.249563217163086, "learning_rate": 3.9053298240814844e-05, "loss": 5.9154, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 561 }, { "epoch": 0.71936, "grad_norm": 24.65864372253418, "learning_rate": 3.9048145327915707e-05, "loss": 5.2646, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 562 }, { "epoch": 0.72064, "grad_norm": 18.928903579711914, "learning_rate": 3.9042978771180895e-05, "loss": 5.07, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 563 }, { "epoch": 0.72192, "grad_norm": 20.266681671142578, "learning_rate": 3.9037798574311115e-05, "loss": 5.7847, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 564 }, { "epoch": 0.7232, "grad_norm": 19.29964256286621, "learning_rate": 3.903260474101685e-05, "loss": 5.7515, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 565 }, { "epoch": 0.72448, "grad_norm": 19.510101318359375, "learning_rate": 3.902739727501834e-05, "loss": 5.505, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 566 }, { "epoch": 0.72576, "grad_norm": 19.329248428344727, "learning_rate": 3.90221761800456e-05, "loss": 5.8108, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 567 }, { "epoch": 0.72704, "grad_norm": 18.64871597290039, "learning_rate": 3.9016941459838406e-05, "loss": 5.4848, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 568 }, { "epoch": 0.72832, "grad_norm": 24.292675018310547, "learning_rate": 3.9011693118146295e-05, "loss": 5.5393, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 569 }, { "epoch": 0.7296, "grad_norm": 19.72871208190918, "learning_rate": 3.900643115872855e-05, "loss": 5.5657, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 570 }, { "epoch": 0.73088, "grad_norm": 19.37862777709961, "learning_rate": 3.900115558535422e-05, "loss": 5.5795, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 571 }, { "epoch": 0.73216, "grad_norm": 17.53312110900879, "learning_rate": 3.8995866401802104e-05, "loss": 5.817, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 572 }, { "epoch": 0.73344, "grad_norm": 19.728132247924805, "learning_rate": 3.899056361186074e-05, "loss": 5.6556, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 573 }, { "epoch": 0.73472, "grad_norm": 18.18861198425293, "learning_rate": 3.898524721932842e-05, "loss": 5.7169, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 574 }, { "epoch": 0.736, "grad_norm": 17.887603759765625, "learning_rate": 3.897991722801318e-05, "loss": 5.2331, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 575 }, { "epoch": 0.73728, "grad_norm": 21.815128326416016, "learning_rate": 3.897457364173279e-05, "loss": 5.5506, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 576 }, { "epoch": 0.73856, "grad_norm": 19.526140213012695, "learning_rate": 3.8969216464314774e-05, "loss": 5.4225, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 577 }, { "epoch": 0.73984, "grad_norm": 18.23575210571289, "learning_rate": 3.896384569959637e-05, "loss": 5.8003, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 578 }, { "epoch": 0.74112, "grad_norm": 18.31631851196289, "learning_rate": 3.895846135142456e-05, "loss": 5.241, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 579 }, { "epoch": 0.7424, "grad_norm": 20.099674224853516, "learning_rate": 3.8953063423656055e-05, "loss": 6.2599, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 580 }, { "epoch": 0.74368, "grad_norm": 19.302692413330078, "learning_rate": 3.894765192015729e-05, "loss": 5.3616, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 581 }, { "epoch": 0.74496, "grad_norm": 18.683998107910156, "learning_rate": 3.8942226844804416e-05, "loss": 5.6936, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 582 }, { "epoch": 0.74624, "grad_norm": 18.646690368652344, "learning_rate": 3.893678820148333e-05, "loss": 5.6285, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 583 }, { "epoch": 0.74752, "grad_norm": 17.770830154418945, "learning_rate": 3.893133599408963e-05, "loss": 5.1928, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 584 }, { "epoch": 0.7488, "grad_norm": 18.431446075439453, "learning_rate": 3.8925870226528625e-05, "loss": 5.7932, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 585 }, { "epoch": 0.75008, "grad_norm": 19.2629451751709, "learning_rate": 3.892039090271534e-05, "loss": 5.3963, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 586 }, { "epoch": 0.75136, "grad_norm": 18.95806121826172, "learning_rate": 3.891489802657453e-05, "loss": 5.5223, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 587 }, { "epoch": 0.75264, "grad_norm": 18.30498695373535, "learning_rate": 3.890939160204062e-05, "loss": 5.6721, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 588 }, { "epoch": 0.75392, "grad_norm": 17.904516220092773, "learning_rate": 3.8903871633057774e-05, "loss": 5.6125, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 589 }, { "epoch": 0.7552, "grad_norm": 25.403087615966797, "learning_rate": 3.889833812357985e-05, "loss": 5.7587, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 590 }, { "epoch": 0.75648, "grad_norm": 87.84386444091797, "learning_rate": 3.8892791077570386e-05, "loss": 5.5921, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 591 }, { "epoch": 0.75776, "grad_norm": 19.71125602722168, "learning_rate": 3.888723049900263e-05, "loss": 5.6197, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 592 }, { "epoch": 0.75904, "grad_norm": 21.070436477661133, "learning_rate": 3.888165639185953e-05, "loss": 5.7523, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 593 }, { "epoch": 0.76032, "grad_norm": 20.192880630493164, "learning_rate": 3.887606876013371e-05, "loss": 5.4871, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 594 }, { "epoch": 0.7616, "grad_norm": 24.770343780517578, "learning_rate": 3.887046760782748e-05, "loss": 5.2174, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 595 }, { "epoch": 0.76288, "grad_norm": 18.29290771484375, "learning_rate": 3.8864852938952864e-05, "loss": 5.503, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 596 }, { "epoch": 0.76416, "grad_norm": 18.414295196533203, "learning_rate": 3.8859224757531524e-05, "loss": 5.8388, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 597 }, { "epoch": 0.76544, "grad_norm": 17.55422019958496, "learning_rate": 3.885358306759484e-05, "loss": 5.3883, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 598 }, { "epoch": 0.76672, "grad_norm": 16.8183650970459, "learning_rate": 3.8847927873183834e-05, "loss": 5.3938, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 599 }, { "epoch": 0.768, "grad_norm": 17.821125030517578, "learning_rate": 3.884225917834924e-05, "loss": 5.5003, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 600 }, { "epoch": 0.76928, "grad_norm": 17.572450637817383, "learning_rate": 3.8836576987151415e-05, "loss": 5.6264, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 601 }, { "epoch": 0.77056, "grad_norm": 19.48012351989746, "learning_rate": 3.883088130366042e-05, "loss": 5.6409, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 602 }, { "epoch": 0.77184, "grad_norm": 18.68971061706543, "learning_rate": 3.882517213195597e-05, "loss": 5.7425, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 603 }, { "epoch": 0.77312, "grad_norm": 19.582578659057617, "learning_rate": 3.881944947612743e-05, "loss": 5.8028, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 604 }, { "epoch": 0.7744, "grad_norm": 19.34496307373047, "learning_rate": 3.881371334027384e-05, "loss": 5.1405, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 605 }, { "epoch": 0.77568, "grad_norm": 22.644819259643555, "learning_rate": 3.8807963728503904e-05, "loss": 5.7932, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 606 }, { "epoch": 0.77696, "grad_norm": 19.349136352539062, "learning_rate": 3.880220064493593e-05, "loss": 5.7637, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 607 }, { "epoch": 0.77824, "grad_norm": 17.927244186401367, "learning_rate": 3.879642409369793e-05, "loss": 5.6134, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 608 }, { "epoch": 0.77952, "grad_norm": 17.903425216674805, "learning_rate": 3.879063407892754e-05, "loss": 5.7388, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 609 }, { "epoch": 0.7808, "grad_norm": 18.373680114746094, "learning_rate": 3.8784830604772035e-05, "loss": 5.5866, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 610 }, { "epoch": 0.78208, "grad_norm": 17.94976043701172, "learning_rate": 3.877901367538834e-05, "loss": 5.5104, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 611 }, { "epoch": 0.78336, "grad_norm": 17.147314071655273, "learning_rate": 3.8773183294943015e-05, "loss": 5.3682, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 612 }, { "epoch": 0.78464, "grad_norm": 17.70482635498047, "learning_rate": 3.876733946761225e-05, "loss": 5.6199, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 613 }, { "epoch": 0.78592, "grad_norm": 16.784324645996094, "learning_rate": 3.8761482197581876e-05, "loss": 5.5959, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 614 }, { "epoch": 0.7872, "grad_norm": 16.762489318847656, "learning_rate": 3.875561148904734e-05, "loss": 5.5617, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 615 }, { "epoch": 0.78848, "grad_norm": 19.167112350463867, "learning_rate": 3.874972734621374e-05, "loss": 5.8734, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 616 }, { "epoch": 0.78976, "grad_norm": 19.7027530670166, "learning_rate": 3.874382977329576e-05, "loss": 5.6506, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 617 }, { "epoch": 0.79104, "grad_norm": 17.80211067199707, "learning_rate": 3.873791877451773e-05, "loss": 5.1804, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 618 }, { "epoch": 0.79232, "grad_norm": 19.22654914855957, "learning_rate": 3.8731994354113594e-05, "loss": 5.5052, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 619 }, { "epoch": 0.7936, "grad_norm": 21.37750816345215, "learning_rate": 3.87260565163269e-05, "loss": 5.4497, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 620 }, { "epoch": 0.79488, "grad_norm": 20.45538902282715, "learning_rate": 3.8720105265410804e-05, "loss": 5.5971, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 621 }, { "epoch": 0.79616, "grad_norm": 19.321388244628906, "learning_rate": 3.871414060562809e-05, "loss": 5.7703, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 622 }, { "epoch": 0.79744, "grad_norm": 17.439926147460938, "learning_rate": 3.870816254125113e-05, "loss": 5.2517, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 623 }, { "epoch": 0.79872, "grad_norm": 17.945453643798828, "learning_rate": 3.87021710765619e-05, "loss": 5.6318, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 624 }, { "epoch": 0.8, "grad_norm": 18.883460998535156, "learning_rate": 3.8696166215851985e-05, "loss": 5.5205, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 625 }, { "epoch": 0.80128, "grad_norm": 18.22972297668457, "learning_rate": 3.8690147963422544e-05, "loss": 5.5534, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 626 }, { "epoch": 0.80256, "grad_norm": 16.154844284057617, "learning_rate": 3.868411632358434e-05, "loss": 5.3987, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 627 }, { "epoch": 0.80384, "grad_norm": 18.29774284362793, "learning_rate": 3.867807130065774e-05, "loss": 5.4802, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 628 }, { "epoch": 0.80512, "grad_norm": 18.908618927001953, "learning_rate": 3.867201289897266e-05, "loss": 5.584, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 629 }, { "epoch": 0.8064, "grad_norm": 40.877132415771484, "learning_rate": 3.8665941122868645e-05, "loss": 5.9931, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 630 }, { "epoch": 0.80768, "grad_norm": 18.67902946472168, "learning_rate": 3.865985597669478e-05, "loss": 5.275, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 631 }, { "epoch": 0.80896, "grad_norm": 19.37566375732422, "learning_rate": 3.865375746480975e-05, "loss": 5.4543, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 632 }, { "epoch": 0.81024, "grad_norm": 17.653825759887695, "learning_rate": 3.8647645591581806e-05, "loss": 5.2165, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 633 }, { "epoch": 0.81152, "grad_norm": 18.73333168029785, "learning_rate": 3.864152036138877e-05, "loss": 5.7008, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 634 }, { "epoch": 0.8128, "grad_norm": 21.446453094482422, "learning_rate": 3.863538177861803e-05, "loss": 5.6686, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 635 }, { "epoch": 0.81408, "grad_norm": 19.137004852294922, "learning_rate": 3.862922984766655e-05, "loss": 5.4532, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 636 }, { "epoch": 0.81536, "grad_norm": 24.19426918029785, "learning_rate": 3.8623064572940825e-05, "loss": 5.1454, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 637 }, { "epoch": 0.81664, "grad_norm": 17.758657455444336, "learning_rate": 3.861688595885694e-05, "loss": 5.2483, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 638 }, { "epoch": 0.81792, "grad_norm": 18.078126907348633, "learning_rate": 3.861069400984053e-05, "loss": 5.6755, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 639 }, { "epoch": 0.8192, "grad_norm": 17.949460983276367, "learning_rate": 3.8604488730326756e-05, "loss": 5.0158, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 640 }, { "epoch": 0.82048, "grad_norm": 16.24897575378418, "learning_rate": 3.8598270124760354e-05, "loss": 5.4095, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 641 }, { "epoch": 0.82176, "grad_norm": 19.200355529785156, "learning_rate": 3.8592038197595605e-05, "loss": 5.6761, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 642 }, { "epoch": 0.82304, "grad_norm": 17.936397552490234, "learning_rate": 3.858579295329631e-05, "loss": 5.7793, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 643 }, { "epoch": 0.82432, "grad_norm": 18.775489807128906, "learning_rate": 3.8579534396335835e-05, "loss": 5.6099, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 644 }, { "epoch": 0.8256, "grad_norm": 18.901065826416016, "learning_rate": 3.8573262531197056e-05, "loss": 5.5769, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 645 }, { "epoch": 0.82688, "grad_norm": 54.707435607910156, "learning_rate": 3.85669773623724e-05, "loss": 4.9686, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 646 }, { "epoch": 0.82816, "grad_norm": 17.71822738647461, "learning_rate": 3.856067889436382e-05, "loss": 5.7026, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 647 }, { "epoch": 0.82944, "grad_norm": 18.932889938354492, "learning_rate": 3.855436713168279e-05, "loss": 5.5978, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 648 }, { "epoch": 0.83072, "grad_norm": 17.229446411132812, "learning_rate": 3.8548042078850316e-05, "loss": 5.2842, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 649 }, { "epoch": 0.832, "grad_norm": 16.79166030883789, "learning_rate": 3.854170374039691e-05, "loss": 5.3963, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 650 }, { "epoch": 0.83328, "grad_norm": 16.07893943786621, "learning_rate": 3.8535352120862615e-05, "loss": 5.6828, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 651 }, { "epoch": 0.83456, "grad_norm": 16.568134307861328, "learning_rate": 3.852898722479697e-05, "loss": 5.5305, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 652 }, { "epoch": 0.83584, "grad_norm": 17.6458740234375, "learning_rate": 3.852260905675902e-05, "loss": 5.4526, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 653 }, { "epoch": 0.83712, "grad_norm": 17.567474365234375, "learning_rate": 3.851621762131736e-05, "loss": 5.0214, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 654 }, { "epoch": 0.8384, "grad_norm": 18.57010841369629, "learning_rate": 3.8509812923050036e-05, "loss": 5.0186, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 655 }, { "epoch": 0.83968, "grad_norm": 19.01462745666504, "learning_rate": 3.8503394966544626e-05, "loss": 5.3293, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 656 }, { "epoch": 0.84096, "grad_norm": 18.17228889465332, "learning_rate": 3.849696375639819e-05, "loss": 5.5194, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 657 }, { "epoch": 0.84224, "grad_norm": 18.205364227294922, "learning_rate": 3.849051929721728e-05, "loss": 5.4444, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 658 }, { "epoch": 0.84352, "grad_norm": 17.837587356567383, "learning_rate": 3.8484061593617955e-05, "loss": 5.323, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 659 }, { "epoch": 0.8448, "grad_norm": 17.347312927246094, "learning_rate": 3.8477590650225735e-05, "loss": 5.3952, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 660 }, { "epoch": 0.84608, "grad_norm": 16.913976669311523, "learning_rate": 3.847110647167565e-05, "loss": 5.4862, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 661 }, { "epoch": 0.84736, "grad_norm": 16.77081298828125, "learning_rate": 3.84646090626122e-05, "loss": 5.5142, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 662 }, { "epoch": 0.84864, "grad_norm": 16.33635711669922, "learning_rate": 3.845809842768934e-05, "loss": 5.5416, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 663 }, { "epoch": 0.84992, "grad_norm": 18.16516876220703, "learning_rate": 3.845157457157054e-05, "loss": 5.3271, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 664 }, { "epoch": 0.8512, "grad_norm": 17.75435447692871, "learning_rate": 3.84450374989287e-05, "loss": 5.2675, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 665 }, { "epoch": 0.85248, "grad_norm": 16.289976119995117, "learning_rate": 3.8438487214446224e-05, "loss": 5.4375, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 666 }, { "epoch": 0.85376, "grad_norm": 16.640878677368164, "learning_rate": 3.843192372281493e-05, "loss": 5.6857, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 667 }, { "epoch": 0.85504, "grad_norm": 16.304845809936523, "learning_rate": 3.8425347028736163e-05, "loss": 5.3133, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 668 }, { "epoch": 0.85632, "grad_norm": 17.16343116760254, "learning_rate": 3.841875713692067e-05, "loss": 5.3376, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 669 }, { "epoch": 0.8576, "grad_norm": 17.539031982421875, "learning_rate": 3.841215405208866e-05, "loss": 5.4589, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 670 }, { "epoch": 0.85888, "grad_norm": 37.231361389160156, "learning_rate": 3.840553777896981e-05, "loss": 5.1671, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 671 }, { "epoch": 0.86016, "grad_norm": 3197.820556640625, "learning_rate": 3.8398908322303244e-05, "loss": 6.0714, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 672 }, { "epoch": 0.86144, "grad_norm": 2862.267822265625, "learning_rate": 3.83922656868375e-05, "loss": 6.9416, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 673 }, { "epoch": 0.86272, "grad_norm": 477.9903259277344, "learning_rate": 3.8385609877330596e-05, "loss": 7.7422, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 674 }, { "epoch": 0.864, "grad_norm": 25.73834991455078, "learning_rate": 3.8378940898549954e-05, "loss": 5.7354, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 675 }, { "epoch": 0.86528, "grad_norm": 21.733110427856445, "learning_rate": 3.837225875527244e-05, "loss": 5.2637, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 676 }, { "epoch": 0.86656, "grad_norm": 21.270305633544922, "learning_rate": 3.836556345228435e-05, "loss": 5.5641, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 677 }, { "epoch": 0.86784, "grad_norm": 19.61530876159668, "learning_rate": 3.8358854994381413e-05, "loss": 5.4557, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 678 }, { "epoch": 0.86912, "grad_norm": 19.0324764251709, "learning_rate": 3.835213338636877e-05, "loss": 5.6178, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 679 }, { "epoch": 0.8704, "grad_norm": 18.69046974182129, "learning_rate": 3.834539863306098e-05, "loss": 5.5047, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 680 }, { "epoch": 0.87168, "grad_norm": 17.777347564697266, "learning_rate": 3.833865073928204e-05, "loss": 5.427, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 681 }, { "epoch": 0.87296, "grad_norm": 18.958152770996094, "learning_rate": 3.8331889709865314e-05, "loss": 5.8533, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 682 }, { "epoch": 0.87424, "grad_norm": 17.737131118774414, "learning_rate": 3.832511554965363e-05, "loss": 5.6601, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 683 }, { "epoch": 0.87552, "grad_norm": 17.650388717651367, "learning_rate": 3.8318328263499175e-05, "loss": 5.5413, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 684 }, { "epoch": 0.8768, "grad_norm": 17.99491310119629, "learning_rate": 3.831152785626357e-05, "loss": 5.1781, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 685 }, { "epoch": 0.87808, "grad_norm": 19.02887725830078, "learning_rate": 3.830471433281781e-05, "loss": 5.2773, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 686 }, { "epoch": 0.87936, "grad_norm": 18.923553466796875, "learning_rate": 3.8297887698042314e-05, "loss": 5.4516, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 687 }, { "epoch": 0.88064, "grad_norm": 17.7654972076416, "learning_rate": 3.829104795682685e-05, "loss": 5.5451, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 688 }, { "epoch": 0.88192, "grad_norm": 19.61536407470703, "learning_rate": 3.828419511407062e-05, "loss": 5.4069, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 689 }, { "epoch": 0.8832, "grad_norm": 17.952547073364258, "learning_rate": 3.8277329174682175e-05, "loss": 5.1146, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 690 }, { "epoch": 0.88448, "grad_norm": 20.304439544677734, "learning_rate": 3.827045014357947e-05, "loss": 5.4949, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 691 }, { "epoch": 0.88576, "grad_norm": 19.700061798095703, "learning_rate": 3.826355802568983e-05, "loss": 5.9103, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 692 }, { "epoch": 0.88704, "grad_norm": 17.474586486816406, "learning_rate": 3.8256652825949936e-05, "loss": 5.1932, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 693 }, { "epoch": 0.88832, "grad_norm": 16.512805938720703, "learning_rate": 3.8249734549305874e-05, "loss": 5.2222, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 694 }, { "epoch": 0.8896, "grad_norm": 17.29090118408203, "learning_rate": 3.824280320071308e-05, "loss": 5.2937, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 695 }, { "epoch": 0.89088, "grad_norm": 19.76313591003418, "learning_rate": 3.823585878513632e-05, "loss": 5.1275, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 696 }, { "epoch": 0.89216, "grad_norm": 17.78861427307129, "learning_rate": 3.822890130754979e-05, "loss": 5.1401, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 697 }, { "epoch": 0.89344, "grad_norm": 18.756399154663086, "learning_rate": 3.822193077293698e-05, "loss": 5.3811, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 698 }, { "epoch": 0.89472, "grad_norm": 17.488367080688477, "learning_rate": 3.821494718629077e-05, "loss": 5.1969, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 699 }, { "epoch": 0.896, "grad_norm": 18.087905883789062, "learning_rate": 3.8207950552613355e-05, "loss": 5.4964, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 700 }, { "epoch": 0.89728, "grad_norm": 18.083486557006836, "learning_rate": 3.8200940876916315e-05, "loss": 5.3936, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 701 }, { "epoch": 0.89856, "grad_norm": 16.811567306518555, "learning_rate": 3.8193918164220535e-05, "loss": 5.999, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.01, "memory/max_mem_allocated(gib)": 53.01, "step": 702 }, { "epoch": 0.89984, "grad_norm": 18.670833587646484, "learning_rate": 3.8186882419556265e-05, "loss": 5.167, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 703 }, { "epoch": 0.90112, "grad_norm": 20.35747718811035, "learning_rate": 3.817983364796308e-05, "loss": 5.8582, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 704 }, { "epoch": 0.9024, "grad_norm": 18.192174911499023, "learning_rate": 3.8172771854489875e-05, "loss": 5.2068, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 705 }, { "epoch": 0.90368, "grad_norm": 18.653263092041016, "learning_rate": 3.81656970441949e-05, "loss": 5.5307, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 706 }, { "epoch": 0.90496, "grad_norm": 17.801586151123047, "learning_rate": 3.8158609222145695e-05, "loss": 5.3375, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 707 }, { "epoch": 0.90624, "grad_norm": 17.987154006958008, "learning_rate": 3.815150839341915e-05, "loss": 5.4146, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 708 }, { "epoch": 0.90752, "grad_norm": 18.47405242919922, "learning_rate": 3.8144394563101436e-05, "loss": 5.5628, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 709 }, { "epoch": 0.9088, "grad_norm": 16.299808502197266, "learning_rate": 3.813726773628809e-05, "loss": 5.3437, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 710 }, { "epoch": 0.91008, "grad_norm": 16.475271224975586, "learning_rate": 3.81301279180839e-05, "loss": 5.3215, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 711 }, { "epoch": 0.91136, "grad_norm": 16.681089401245117, "learning_rate": 3.812297511360299e-05, "loss": 5.3753, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 712 }, { "epoch": 0.91264, "grad_norm": 16.217832565307617, "learning_rate": 3.8115809327968795e-05, "loss": 5.2485, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 713 }, { "epoch": 0.91392, "grad_norm": 17.904199600219727, "learning_rate": 3.810863056631402e-05, "loss": 5.4864, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 714 }, { "epoch": 0.9152, "grad_norm": 18.715673446655273, "learning_rate": 3.8101438833780695e-05, "loss": 5.3338, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 715 }, { "epoch": 0.91648, "grad_norm": 24.790361404418945, "learning_rate": 3.809423413552012e-05, "loss": 5.6748, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 716 }, { "epoch": 0.91776, "grad_norm": 16.757123947143555, "learning_rate": 3.808701647669289e-05, "loss": 4.9758, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 717 }, { "epoch": 0.91904, "grad_norm": 18.346534729003906, "learning_rate": 3.807978586246887e-05, "loss": 5.5884, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 718 }, { "epoch": 0.92032, "grad_norm": 16.136178970336914, "learning_rate": 3.807254229802722e-05, "loss": 5.7355, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 719 }, { "epoch": 0.9216, "grad_norm": 17.537967681884766, "learning_rate": 3.806528578855638e-05, "loss": 4.8956, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 720 }, { "epoch": 0.92288, "grad_norm": 17.144357681274414, "learning_rate": 3.8058016339254054e-05, "loss": 5.0639, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 721 }, { "epoch": 0.92416, "grad_norm": 15.829097747802734, "learning_rate": 3.805073395532721e-05, "loss": 5.2269, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 722 }, { "epoch": 0.92544, "grad_norm": 17.89219093322754, "learning_rate": 3.804343864199208e-05, "loss": 5.1124, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 723 }, { "epoch": 0.92672, "grad_norm": 17.610116958618164, "learning_rate": 3.8036130404474165e-05, "loss": 5.4471, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 724 }, { "epoch": 0.928, "grad_norm": 21.28272247314453, "learning_rate": 3.802880924800823e-05, "loss": 5.1475, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 725 }, { "epoch": 0.92928, "grad_norm": 16.55522346496582, "learning_rate": 3.8021475177838274e-05, "loss": 5.2418, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 726 }, { "epoch": 0.93056, "grad_norm": 16.854965209960938, "learning_rate": 3.8014128199217564e-05, "loss": 5.5193, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 727 }, { "epoch": 0.93184, "grad_norm": 16.79427146911621, "learning_rate": 3.80067683174086e-05, "loss": 5.5083, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 728 }, { "epoch": 0.93312, "grad_norm": 17.095869064331055, "learning_rate": 3.7999395537683125e-05, "loss": 5.0184, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 729 }, { "epoch": 0.9344, "grad_norm": 17.00202751159668, "learning_rate": 3.7992009865322146e-05, "loss": 5.3068, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 730 }, { "epoch": 0.93568, "grad_norm": 20.387863159179688, "learning_rate": 3.798461130561586e-05, "loss": 5.2117, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 731 }, { "epoch": 0.93696, "grad_norm": 17.0885009765625, "learning_rate": 3.797719986386374e-05, "loss": 4.9442, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 732 }, { "epoch": 0.93824, "grad_norm": 18.086360931396484, "learning_rate": 3.796977554537444e-05, "loss": 5.4797, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 733 }, { "epoch": 0.93952, "grad_norm": 17.22867202758789, "learning_rate": 3.7962338355465885e-05, "loss": 4.6933, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 734 }, { "epoch": 0.9408, "grad_norm": 16.782148361206055, "learning_rate": 3.7954888299465183e-05, "loss": 5.5364, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 735 }, { "epoch": 0.94208, "grad_norm": 16.606918334960938, "learning_rate": 3.794742538270869e-05, "loss": 5.0218, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 736 }, { "epoch": 0.94336, "grad_norm": 18.177927017211914, "learning_rate": 3.793994961054194e-05, "loss": 5.2387, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 737 }, { "epoch": 0.94464, "grad_norm": 16.962793350219727, "learning_rate": 3.79324609883197e-05, "loss": 5.2865, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 738 }, { "epoch": 0.94592, "grad_norm": 16.876201629638672, "learning_rate": 3.792495952140591e-05, "loss": 5.3896, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 739 }, { "epoch": 0.9472, "grad_norm": 15.220075607299805, "learning_rate": 3.7917445215173765e-05, "loss": 5.1438, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 740 }, { "epoch": 0.94848, "grad_norm": 17.2893123626709, "learning_rate": 3.79099180750056e-05, "loss": 5.1406, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 741 }, { "epoch": 0.94976, "grad_norm": 16.21901512145996, "learning_rate": 3.7902378106292983e-05, "loss": 5.3622, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 742 }, { "epoch": 0.95104, "grad_norm": 16.269935607910156, "learning_rate": 3.789482531443664e-05, "loss": 4.9897, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 743 }, { "epoch": 0.95232, "grad_norm": 17.004039764404297, "learning_rate": 3.7887259704846514e-05, "loss": 5.1699, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 744 }, { "epoch": 0.9536, "grad_norm": 16.95368194580078, "learning_rate": 3.78796812829417e-05, "loss": 5.0853, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 745 }, { "epoch": 0.95488, "grad_norm": 17.035409927368164, "learning_rate": 3.787209005415047e-05, "loss": 5.2729, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 746 }, { "epoch": 0.95616, "grad_norm": 15.787614822387695, "learning_rate": 3.786448602391031e-05, "loss": 5.0093, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 747 }, { "epoch": 0.95744, "grad_norm": 16.203874588012695, "learning_rate": 3.7856869197667825e-05, "loss": 4.8582, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 748 }, { "epoch": 0.95872, "grad_norm": 16.513906478881836, "learning_rate": 3.784923958087882e-05, "loss": 5.4226, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 749 }, { "epoch": 0.96, "grad_norm": 16.5956974029541, "learning_rate": 3.784159717900824e-05, "loss": 4.9024, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 750 }, { "epoch": 0.96128, "grad_norm": 18.0240478515625, "learning_rate": 3.78339419975302e-05, "loss": 5.1765, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 751 }, { "epoch": 0.96256, "grad_norm": 18.69932746887207, "learning_rate": 3.782627404192797e-05, "loss": 5.5528, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 752 }, { "epoch": 0.96384, "grad_norm": 15.76240062713623, "learning_rate": 3.781859331769396e-05, "loss": 5.6131, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 753 }, { "epoch": 0.96512, "grad_norm": 23.697301864624023, "learning_rate": 3.781089983032973e-05, "loss": 5.3745, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 754 }, { "epoch": 0.9664, "grad_norm": 16.073518753051758, "learning_rate": 3.7803193585345986e-05, "loss": 5.2933, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 755 }, { "epoch": 0.96768, "grad_norm": 26.42362403869629, "learning_rate": 3.7795474588262576e-05, "loss": 5.2677, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 756 }, { "epoch": 0.96896, "grad_norm": 16.492290496826172, "learning_rate": 3.778774284460846e-05, "loss": 5.296, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 757 }, { "epoch": 0.97024, "grad_norm": 16.305191040039062, "learning_rate": 3.777999835992175e-05, "loss": 4.8964, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 758 }, { "epoch": 0.97152, "grad_norm": 15.615100860595703, "learning_rate": 3.7772241139749685e-05, "loss": 4.9332, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 759 }, { "epoch": 0.9728, "grad_norm": 18.273162841796875, "learning_rate": 3.776447118964862e-05, "loss": 5.5119, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 760 }, { "epoch": 0.97408, "grad_norm": 16.767322540283203, "learning_rate": 3.7756688515184e-05, "loss": 5.2002, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 761 }, { "epoch": 0.97536, "grad_norm": 16.715152740478516, "learning_rate": 3.7748893121930455e-05, "loss": 5.4438, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 762 }, { "epoch": 0.97664, "grad_norm": 17.53606605529785, "learning_rate": 3.774108501547165e-05, "loss": 4.9217, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 763 }, { "epoch": 0.97792, "grad_norm": 16.464235305786133, "learning_rate": 3.7733264201400394e-05, "loss": 5.1542, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 764 }, { "epoch": 0.9792, "grad_norm": 16.66168785095215, "learning_rate": 3.77254306853186e-05, "loss": 5.3271, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 765 }, { "epoch": 0.98048, "grad_norm": 17.007625579833984, "learning_rate": 3.7717584472837267e-05, "loss": 5.3233, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 766 }, { "epoch": 0.98176, "grad_norm": 15.926201820373535, "learning_rate": 3.770972556957649e-05, "loss": 4.9419, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 767 }, { "epoch": 0.98304, "grad_norm": 14.828093528747559, "learning_rate": 3.7701853981165457e-05, "loss": 5.241, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 768 }, { "epoch": 0.98432, "grad_norm": 16.0419921875, "learning_rate": 3.769396971324244e-05, "loss": 5.1536, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 769 }, { "epoch": 0.9856, "grad_norm": 17.700796127319336, "learning_rate": 3.768607277145481e-05, "loss": 5.253, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 770 }, { "epoch": 0.98688, "grad_norm": 17.57451057434082, "learning_rate": 3.7678163161458974e-05, "loss": 5.4467, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 771 }, { "epoch": 0.98816, "grad_norm": 16.052181243896484, "learning_rate": 3.767024088892046e-05, "loss": 4.8288, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 772 }, { "epoch": 0.98944, "grad_norm": 16.66253089904785, "learning_rate": 3.766230595951384e-05, "loss": 5.0681, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 773 }, { "epoch": 0.99072, "grad_norm": 17.155872344970703, "learning_rate": 3.7654358378922766e-05, "loss": 5.1881, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 774 }, { "epoch": 0.992, "grad_norm": 17.582609176635742, "learning_rate": 3.764639815283993e-05, "loss": 5.6689, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 775 }, { "epoch": 0.99328, "grad_norm": 22.189388275146484, "learning_rate": 3.76384252869671e-05, "loss": 5.1323, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 776 }, { "epoch": 0.99456, "grad_norm": 16.766719818115234, "learning_rate": 3.76304397870151e-05, "loss": 5.29, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 777 }, { "epoch": 0.99584, "grad_norm": 16.528942108154297, "learning_rate": 3.762244165870379e-05, "loss": 5.2681, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 778 }, { "epoch": 0.99712, "grad_norm": 15.585844039916992, "learning_rate": 3.761443090776208e-05, "loss": 5.2309, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 779 }, { "epoch": 0.9984, "grad_norm": 16.292577743530273, "learning_rate": 3.760640753992793e-05, "loss": 5.5075, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 780 }, { "epoch": 0.99968, "grad_norm": 16.92820167541504, "learning_rate": 3.7598371560948325e-05, "loss": 5.1952, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 781 }, { "epoch": 1.0, "grad_norm": 7.192198276519775, "learning_rate": 3.759032297657929e-05, "loss": 1.1529, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 782 }, { "epoch": 1.00128, "grad_norm": 16.168888092041016, "learning_rate": 3.758226179258588e-05, "loss": 4.4166, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 783 }, { "epoch": 1.00256, "grad_norm": 15.005285263061523, "learning_rate": 3.757418801474217e-05, "loss": 4.5219, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 784 }, { "epoch": 1.00384, "grad_norm": 15.98065185546875, "learning_rate": 3.7566101648831265e-05, "loss": 4.526, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 785 }, { "epoch": 1.00512, "grad_norm": 18.08999252319336, "learning_rate": 3.755800270064527e-05, "loss": 4.2485, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 786 }, { "epoch": 1.0064, "grad_norm": 17.861391067504883, "learning_rate": 3.754989117598532e-05, "loss": 4.1359, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 787 }, { "epoch": 1.00768, "grad_norm": 18.61275863647461, "learning_rate": 3.754176708066154e-05, "loss": 4.4058, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 788 }, { "epoch": 1.00896, "grad_norm": 16.51255226135254, "learning_rate": 3.7533630420493086e-05, "loss": 4.2177, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 789 }, { "epoch": 1.01024, "grad_norm": 16.06920051574707, "learning_rate": 3.7525481201308086e-05, "loss": 4.0489, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 790 }, { "epoch": 1.01152, "grad_norm": 17.024892807006836, "learning_rate": 3.751731942894368e-05, "loss": 4.2713, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 791 }, { "epoch": 1.0128, "grad_norm": 15.494892120361328, "learning_rate": 3.7509145109245986e-05, "loss": 4.1091, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 792 }, { "epoch": 1.01408, "grad_norm": 16.395952224731445, "learning_rate": 3.7500958248070144e-05, "loss": 4.21, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 793 }, { "epoch": 1.01536, "grad_norm": 16.06232261657715, "learning_rate": 3.749275885128022e-05, "loss": 4.1676, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 794 }, { "epoch": 1.01664, "grad_norm": 16.227310180664062, "learning_rate": 3.748454692474931e-05, "loss": 4.2091, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 795 }, { "epoch": 1.01792, "grad_norm": 17.18985366821289, "learning_rate": 3.747632247435946e-05, "loss": 4.3397, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 796 }, { "epoch": 1.0192, "grad_norm": 16.61663246154785, "learning_rate": 3.74680855060017e-05, "loss": 4.2583, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 797 }, { "epoch": 1.02048, "grad_norm": 16.121376037597656, "learning_rate": 3.7459836025576006e-05, "loss": 4.2304, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 798 }, { "epoch": 1.02176, "grad_norm": 16.61048698425293, "learning_rate": 3.745157403899134e-05, "loss": 4.1513, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 799 }, { "epoch": 1.02304, "grad_norm": 20.74541473388672, "learning_rate": 3.74432995521656e-05, "loss": 4.4011, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 800 }, { "epoch": 1.02432, "grad_norm": 15.940553665161133, "learning_rate": 3.743501257102566e-05, "loss": 4.515, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 801 }, { "epoch": 1.0256, "grad_norm": 15.10676097869873, "learning_rate": 3.7426713101507325e-05, "loss": 4.0769, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 802 }, { "epoch": 1.02688, "grad_norm": 15.391860961914062, "learning_rate": 3.741840114955535e-05, "loss": 4.3969, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 803 }, { "epoch": 1.02816, "grad_norm": 18.943653106689453, "learning_rate": 3.741007672112345e-05, "loss": 4.4858, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 804 }, { "epoch": 1.02944, "grad_norm": 16.0422306060791, "learning_rate": 3.740173982217423e-05, "loss": 4.6316, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 805 }, { "epoch": 1.03072, "grad_norm": 15.259161949157715, "learning_rate": 3.7393390458679284e-05, "loss": 4.347, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 806 }, { "epoch": 1.032, "grad_norm": 15.302316665649414, "learning_rate": 3.738502863661909e-05, "loss": 4.231, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 807 }, { "epoch": 1.03328, "grad_norm": 17.221473693847656, "learning_rate": 3.737665436198308e-05, "loss": 4.1445, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 808 }, { "epoch": 1.03456, "grad_norm": 15.85611343383789, "learning_rate": 3.736826764076959e-05, "loss": 4.223, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 809 }, { "epoch": 1.03584, "grad_norm": 17.311580657958984, "learning_rate": 3.735986847898586e-05, "loss": 4.7187, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 810 }, { "epoch": 1.03712, "grad_norm": 16.424100875854492, "learning_rate": 3.7351456882648077e-05, "loss": 4.3705, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 811 }, { "epoch": 1.0384, "grad_norm": 15.598773956298828, "learning_rate": 3.734303285778129e-05, "loss": 4.5336, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 812 }, { "epoch": 1.03968, "grad_norm": 16.891218185424805, "learning_rate": 3.73345964104195e-05, "loss": 4.532, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 813 }, { "epoch": 1.04096, "grad_norm": 16.61777687072754, "learning_rate": 3.732614754660555e-05, "loss": 4.3272, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 814 }, { "epoch": 1.04224, "grad_norm": 17.444114685058594, "learning_rate": 3.731768627239122e-05, "loss": 4.2953, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 815 }, { "epoch": 1.04352, "grad_norm": 15.16589641571045, "learning_rate": 3.730921259383717e-05, "loss": 4.1927, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 816 }, { "epoch": 1.0448, "grad_norm": 16.439218521118164, "learning_rate": 3.730072651701293e-05, "loss": 4.3565, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 817 }, { "epoch": 1.04608, "grad_norm": 24.510051727294922, "learning_rate": 3.7292228047996924e-05, "loss": 4.3221, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 818 }, { "epoch": 1.04736, "grad_norm": 15.896862983703613, "learning_rate": 3.7283717192876446e-05, "loss": 4.3356, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 819 }, { "epoch": 1.04864, "grad_norm": 14.973894119262695, "learning_rate": 3.727519395774767e-05, "loss": 3.8096, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 820 }, { "epoch": 1.04992, "grad_norm": 15.89252758026123, "learning_rate": 3.726665834871563e-05, "loss": 4.0411, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 821 }, { "epoch": 1.0512, "grad_norm": 15.295536041259766, "learning_rate": 3.725811037189422e-05, "loss": 4.1879, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 822 }, { "epoch": 1.05248, "grad_norm": 16.591594696044922, "learning_rate": 3.724955003340621e-05, "loss": 4.3066, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 823 }, { "epoch": 1.05376, "grad_norm": 16.438859939575195, "learning_rate": 3.724097733938321e-05, "loss": 4.1371, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 824 }, { "epoch": 1.05504, "grad_norm": 16.233139038085938, "learning_rate": 3.7232392295965676e-05, "loss": 4.1445, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 825 }, { "epoch": 1.05632, "grad_norm": 15.29269027709961, "learning_rate": 3.722379490930292e-05, "loss": 4.3742, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 826 }, { "epoch": 1.0576, "grad_norm": 16.42255401611328, "learning_rate": 3.7215185185553085e-05, "loss": 4.0996, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 827 }, { "epoch": 1.05888, "grad_norm": 19.357059478759766, "learning_rate": 3.720656313088317e-05, "loss": 4.3622, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 828 }, { "epoch": 1.06016, "grad_norm": 16.141401290893555, "learning_rate": 3.7197928751468984e-05, "loss": 4.3444, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 829 }, { "epoch": 1.06144, "grad_norm": 17.08056640625, "learning_rate": 3.718928205349518e-05, "loss": 4.1002, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 830 }, { "epoch": 1.06272, "grad_norm": 16.774206161499023, "learning_rate": 3.718062304315523e-05, "loss": 4.535, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 831 }, { "epoch": 1.064, "grad_norm": 16.83819580078125, "learning_rate": 3.717195172665142e-05, "loss": 4.2213, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 832 }, { "epoch": 1.06528, "grad_norm": 15.784399032592773, "learning_rate": 3.716326811019485e-05, "loss": 4.3414, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 833 }, { "epoch": 1.06656, "grad_norm": 15.979156494140625, "learning_rate": 3.7154572200005446e-05, "loss": 4.1005, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 834 }, { "epoch": 1.06784, "grad_norm": 15.49698543548584, "learning_rate": 3.714586400231191e-05, "loss": 3.9697, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 835 }, { "epoch": 1.06912, "grad_norm": 17.050065994262695, "learning_rate": 3.7137143523351787e-05, "loss": 4.4618, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 836 }, { "epoch": 1.0704, "grad_norm": 15.703328132629395, "learning_rate": 3.712841076937138e-05, "loss": 4.401, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 837 }, { "epoch": 1.07168, "grad_norm": 15.110478401184082, "learning_rate": 3.7119665746625805e-05, "loss": 4.5366, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 838 }, { "epoch": 1.07296, "grad_norm": 16.527328491210938, "learning_rate": 3.7110908461378954e-05, "loss": 4.4194, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 839 }, { "epoch": 1.07424, "grad_norm": 15.608952522277832, "learning_rate": 3.710213891990352e-05, "loss": 4.264, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 840 }, { "epoch": 1.07552, "grad_norm": 15.631292343139648, "learning_rate": 3.709335712848095e-05, "loss": 4.3905, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 841 }, { "epoch": 1.0768, "grad_norm": 15.838480949401855, "learning_rate": 3.7084563093401496e-05, "loss": 4.4718, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 842 }, { "epoch": 1.07808, "grad_norm": 16.75391960144043, "learning_rate": 3.707575682096415e-05, "loss": 4.3156, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 843 }, { "epoch": 1.07936, "grad_norm": 16.015233993530273, "learning_rate": 3.706693831747669e-05, "loss": 4.275, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 844 }, { "epoch": 1.08064, "grad_norm": 15.443527221679688, "learning_rate": 3.7058107589255643e-05, "loss": 4.7622, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 845 }, { "epoch": 1.08192, "grad_norm": 15.851340293884277, "learning_rate": 3.70492646426263e-05, "loss": 4.5973, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 846 }, { "epoch": 1.0832, "grad_norm": 15.252490043640137, "learning_rate": 3.70404094839227e-05, "loss": 4.0446, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 847 }, { "epoch": 1.08448, "grad_norm": 16.44010353088379, "learning_rate": 3.703154211948763e-05, "loss": 4.1806, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 848 }, { "epoch": 1.08576, "grad_norm": 16.14630126953125, "learning_rate": 3.7022662555672624e-05, "loss": 4.2634, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 849 }, { "epoch": 1.08704, "grad_norm": 15.523625373840332, "learning_rate": 3.701377079883794e-05, "loss": 4.1846, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 850 }, { "epoch": 1.08832, "grad_norm": 15.018416404724121, "learning_rate": 3.700486685535259e-05, "loss": 3.9914, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 851 }, { "epoch": 1.0896, "grad_norm": 18.158777236938477, "learning_rate": 3.69959507315943e-05, "loss": 4.1804, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 852 }, { "epoch": 1.09088, "grad_norm": 15.430265426635742, "learning_rate": 3.6987022433949524e-05, "loss": 4.3813, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 853 }, { "epoch": 1.09216, "grad_norm": 15.99801254272461, "learning_rate": 3.697808196881344e-05, "loss": 4.216, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 854 }, { "epoch": 1.09344, "grad_norm": 16.25202751159668, "learning_rate": 3.696912934258994e-05, "loss": 4.4805, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 855 }, { "epoch": 1.09472, "grad_norm": 16.353221893310547, "learning_rate": 3.696016456169162e-05, "loss": 4.4025, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 856 }, { "epoch": 1.096, "grad_norm": 16.484371185302734, "learning_rate": 3.6951187632539794e-05, "loss": 4.4779, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 857 }, { "epoch": 1.09728, "grad_norm": 15.377453804016113, "learning_rate": 3.694219856156446e-05, "loss": 3.9997, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 858 }, { "epoch": 1.09856, "grad_norm": 15.307774543762207, "learning_rate": 3.6933197355204336e-05, "loss": 4.3861, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 859 }, { "epoch": 1.09984, "grad_norm": 14.64097785949707, "learning_rate": 3.692418401990682e-05, "loss": 4.049, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 860 }, { "epoch": 1.10112, "grad_norm": 16.91565704345703, "learning_rate": 3.691515856212799e-05, "loss": 4.4724, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 861 }, { "epoch": 1.1024, "grad_norm": 16.10772705078125, "learning_rate": 3.6906120988332616e-05, "loss": 4.3221, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 862 }, { "epoch": 1.10368, "grad_norm": 16.124202728271484, "learning_rate": 3.6897071304994145e-05, "loss": 4.291, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 863 }, { "epoch": 1.10496, "grad_norm": 16.45026969909668, "learning_rate": 3.6888009518594703e-05, "loss": 4.2695, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 864 }, { "epoch": 1.1062400000000001, "grad_norm": 16.43177604675293, "learning_rate": 3.687893563562509e-05, "loss": 4.5859, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 865 }, { "epoch": 1.10752, "grad_norm": 16.0928955078125, "learning_rate": 3.6869849662584745e-05, "loss": 4.5276, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 866 }, { "epoch": 1.1088, "grad_norm": 17.01827049255371, "learning_rate": 3.686075160598178e-05, "loss": 4.3908, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 867 }, { "epoch": 1.11008, "grad_norm": 16.2530574798584, "learning_rate": 3.6851641472332985e-05, "loss": 4.6219, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 868 }, { "epoch": 1.11136, "grad_norm": 15.321200370788574, "learning_rate": 3.6842519268163764e-05, "loss": 4.3345, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 869 }, { "epoch": 1.11264, "grad_norm": 16.235937118530273, "learning_rate": 3.68333850000082e-05, "loss": 4.0733, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 870 }, { "epoch": 1.11392, "grad_norm": 15.206354141235352, "learning_rate": 3.6824238674408984e-05, "loss": 4.2512, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 871 }, { "epoch": 1.1152, "grad_norm": 15.418142318725586, "learning_rate": 3.6815080297917464e-05, "loss": 4.2608, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 872 }, { "epoch": 1.11648, "grad_norm": 15.943363189697266, "learning_rate": 3.680590987709363e-05, "loss": 4.3679, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 873 }, { "epoch": 1.11776, "grad_norm": 15.58619213104248, "learning_rate": 3.679672741850607e-05, "loss": 4.1263, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 874 }, { "epoch": 1.11904, "grad_norm": 15.493576049804688, "learning_rate": 3.678753292873202e-05, "loss": 4.1303, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 875 }, { "epoch": 1.12032, "grad_norm": 17.463762283325195, "learning_rate": 3.677832641435731e-05, "loss": 4.5239, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 876 }, { "epoch": 1.1216, "grad_norm": 15.41862678527832, "learning_rate": 3.676910788197641e-05, "loss": 4.2116, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 877 }, { "epoch": 1.12288, "grad_norm": 15.156543731689453, "learning_rate": 3.675987733819239e-05, "loss": 4.2647, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 878 }, { "epoch": 1.12416, "grad_norm": 15.750941276550293, "learning_rate": 3.67506347896169e-05, "loss": 4.1595, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 879 }, { "epoch": 1.12544, "grad_norm": 15.72594165802002, "learning_rate": 3.674138024287022e-05, "loss": 4.4303, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 880 }, { "epoch": 1.12672, "grad_norm": 14.887951850891113, "learning_rate": 3.6732113704581205e-05, "loss": 4.3678, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 881 }, { "epoch": 1.1280000000000001, "grad_norm": 14.634197235107422, "learning_rate": 3.672283518138732e-05, "loss": 4.4589, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 882 }, { "epoch": 1.12928, "grad_norm": 14.899866104125977, "learning_rate": 3.671354467993458e-05, "loss": 3.9955, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 883 }, { "epoch": 1.13056, "grad_norm": 14.423491477966309, "learning_rate": 3.670424220687761e-05, "loss": 4.2326, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 884 }, { "epoch": 1.13184, "grad_norm": 16.4047794342041, "learning_rate": 3.6694927768879596e-05, "loss": 4.2974, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 885 }, { "epoch": 1.13312, "grad_norm": 17.199739456176758, "learning_rate": 3.6685601372612303e-05, "loss": 4.3744, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 886 }, { "epoch": 1.1344, "grad_norm": 14.892805099487305, "learning_rate": 3.667626302475606e-05, "loss": 4.1664, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 887 }, { "epoch": 1.13568, "grad_norm": 14.567102432250977, "learning_rate": 3.6666912731999746e-05, "loss": 3.9156, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 888 }, { "epoch": 1.13696, "grad_norm": 15.625653266906738, "learning_rate": 3.665755050104081e-05, "loss": 4.3328, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 889 }, { "epoch": 1.13824, "grad_norm": 15.129523277282715, "learning_rate": 3.6648176338585246e-05, "loss": 4.1641, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 890 }, { "epoch": 1.13952, "grad_norm": 15.662614822387695, "learning_rate": 3.663879025134758e-05, "loss": 4.2242, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 891 }, { "epoch": 1.1408, "grad_norm": 15.761423110961914, "learning_rate": 3.662939224605091e-05, "loss": 4.3492, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 892 }, { "epoch": 1.14208, "grad_norm": 15.972007751464844, "learning_rate": 3.6619982329426843e-05, "loss": 4.414, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 893 }, { "epoch": 1.14336, "grad_norm": 16.43582534790039, "learning_rate": 3.6610560508215535e-05, "loss": 4.251, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 894 }, { "epoch": 1.1446399999999999, "grad_norm": 14.57497787475586, "learning_rate": 3.6601126789165664e-05, "loss": 4.3465, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 895 }, { "epoch": 1.14592, "grad_norm": 15.498397827148438, "learning_rate": 3.659168117903443e-05, "loss": 4.4077, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 896 }, { "epoch": 1.1472, "grad_norm": 15.618167877197266, "learning_rate": 3.6582223684587545e-05, "loss": 4.3542, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 897 }, { "epoch": 1.14848, "grad_norm": 15.336588859558105, "learning_rate": 3.657275431259924e-05, "loss": 4.389, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 898 }, { "epoch": 1.1497600000000001, "grad_norm": 15.523792266845703, "learning_rate": 3.656327306985225e-05, "loss": 3.9386, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 899 }, { "epoch": 1.15104, "grad_norm": 16.469980239868164, "learning_rate": 3.655377996313782e-05, "loss": 4.3091, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 900 }, { "epoch": 1.15232, "grad_norm": 16.09726905822754, "learning_rate": 3.654427499925567e-05, "loss": 4.4087, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 901 }, { "epoch": 1.1536, "grad_norm": 15.757027626037598, "learning_rate": 3.653475818501406e-05, "loss": 4.3902, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 902 }, { "epoch": 1.15488, "grad_norm": 14.891890525817871, "learning_rate": 3.652522952722969e-05, "loss": 3.9762, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 903 }, { "epoch": 1.15616, "grad_norm": 15.198460578918457, "learning_rate": 3.651568903272775e-05, "loss": 4.2151, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 904 }, { "epoch": 1.15744, "grad_norm": 15.398750305175781, "learning_rate": 3.650613670834195e-05, "loss": 4.3405, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 905 }, { "epoch": 1.15872, "grad_norm": 14.543858528137207, "learning_rate": 3.649657256091443e-05, "loss": 3.9768, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 906 }, { "epoch": 1.16, "grad_norm": 15.01441478729248, "learning_rate": 3.64869965972958e-05, "loss": 4.3083, "memory/device_mem_reserved(gib)": 64.46, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 907 }, { "epoch": 1.16128, "grad_norm": 15.23315143585205, "learning_rate": 3.647740882434517e-05, "loss": 4.2631, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 908 }, { "epoch": 1.16256, "grad_norm": 16.187702178955078, "learning_rate": 3.646780924893007e-05, "loss": 4.544, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 909 }, { "epoch": 1.16384, "grad_norm": 15.439303398132324, "learning_rate": 3.64581978779265e-05, "loss": 4.349, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 910 }, { "epoch": 1.16512, "grad_norm": 16.458005905151367, "learning_rate": 3.644857471821892e-05, "loss": 4.2813, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 911 }, { "epoch": 1.1663999999999999, "grad_norm": 14.36257266998291, "learning_rate": 3.6438939776700205e-05, "loss": 4.6759, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 912 }, { "epoch": 1.16768, "grad_norm": 16.840587615966797, "learning_rate": 3.6429293060271694e-05, "loss": 4.3187, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 913 }, { "epoch": 1.16896, "grad_norm": 15.615226745605469, "learning_rate": 3.641963457584315e-05, "loss": 4.312, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 914 }, { "epoch": 1.17024, "grad_norm": 15.78549861907959, "learning_rate": 3.640996433033277e-05, "loss": 4.3515, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 915 }, { "epoch": 1.1715200000000001, "grad_norm": 15.765857696533203, "learning_rate": 3.6400282330667184e-05, "loss": 4.5616, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 916 }, { "epoch": 1.1728, "grad_norm": 20.240304946899414, "learning_rate": 3.6390588583781406e-05, "loss": 4.4949, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 917 }, { "epoch": 1.17408, "grad_norm": 14.424782752990723, "learning_rate": 3.638088309661891e-05, "loss": 4.2704, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 918 }, { "epoch": 1.17536, "grad_norm": 15.2334623336792, "learning_rate": 3.6371165876131544e-05, "loss": 4.1956, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 919 }, { "epoch": 1.17664, "grad_norm": 14.214000701904297, "learning_rate": 3.6361436929279574e-05, "loss": 3.841, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 920 }, { "epoch": 1.17792, "grad_norm": 15.264904975891113, "learning_rate": 3.635169626303168e-05, "loss": 4.3697, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 921 }, { "epoch": 1.1792, "grad_norm": 15.260586738586426, "learning_rate": 3.6341943884364904e-05, "loss": 3.8438, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 922 }, { "epoch": 1.18048, "grad_norm": 14.658799171447754, "learning_rate": 3.63321798002647e-05, "loss": 4.2112, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 923 }, { "epoch": 1.18176, "grad_norm": 16.298450469970703, "learning_rate": 3.632240401772492e-05, "loss": 4.4231, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 924 }, { "epoch": 1.18304, "grad_norm": 16.78000259399414, "learning_rate": 3.631261654374775e-05, "loss": 4.128, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 925 }, { "epoch": 1.18432, "grad_norm": 15.751258850097656, "learning_rate": 3.630281738534379e-05, "loss": 3.9896, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 926 }, { "epoch": 1.1856, "grad_norm": 14.481562614440918, "learning_rate": 3.6293006549531994e-05, "loss": 4.2789, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 927 }, { "epoch": 1.18688, "grad_norm": 15.486409187316895, "learning_rate": 3.6283184043339696e-05, "loss": 4.345, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 928 }, { "epoch": 1.1881599999999999, "grad_norm": 15.807978630065918, "learning_rate": 3.6273349873802554e-05, "loss": 4.4876, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 929 }, { "epoch": 1.18944, "grad_norm": 15.211185455322266, "learning_rate": 3.6263504047964616e-05, "loss": 4.0861, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 930 }, { "epoch": 1.19072, "grad_norm": 15.499547958374023, "learning_rate": 3.6253646572878266e-05, "loss": 4.3671, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 931 }, { "epoch": 1.192, "grad_norm": 17.28366470336914, "learning_rate": 3.624377745560423e-05, "loss": 4.1298, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 932 }, { "epoch": 1.1932800000000001, "grad_norm": 15.414783477783203, "learning_rate": 3.6233896703211565e-05, "loss": 4.1383, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 933 }, { "epoch": 1.19456, "grad_norm": 16.393339157104492, "learning_rate": 3.6224004322777695e-05, "loss": 4.1753, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 934 }, { "epoch": 1.19584, "grad_norm": 15.382574081420898, "learning_rate": 3.6214100321388325e-05, "loss": 4.3941, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 935 }, { "epoch": 1.19712, "grad_norm": 14.829909324645996, "learning_rate": 3.6204184706137525e-05, "loss": 4.4461, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 936 }, { "epoch": 1.1984, "grad_norm": 15.300322532653809, "learning_rate": 3.619425748412765e-05, "loss": 4.2931, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 937 }, { "epoch": 1.19968, "grad_norm": 15.314664840698242, "learning_rate": 3.6184318662469416e-05, "loss": 4.1566, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 938 }, { "epoch": 1.20096, "grad_norm": 17.634775161743164, "learning_rate": 3.61743682482818e-05, "loss": 4.2058, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 939 }, { "epoch": 1.20224, "grad_norm": 15.611769676208496, "learning_rate": 3.616440624869209e-05, "loss": 3.99, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 940 }, { "epoch": 1.20352, "grad_norm": 16.55445671081543, "learning_rate": 3.61544326708359e-05, "loss": 4.2853, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 941 }, { "epoch": 1.2048, "grad_norm": 15.507970809936523, "learning_rate": 3.614444752185711e-05, "loss": 4.1921, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 942 }, { "epoch": 1.20608, "grad_norm": 15.407391548156738, "learning_rate": 3.613445080890791e-05, "loss": 4.388, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 943 }, { "epoch": 1.20736, "grad_norm": 15.327923774719238, "learning_rate": 3.612444253914874e-05, "loss": 4.1972, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 944 }, { "epoch": 1.20864, "grad_norm": 14.238018989562988, "learning_rate": 3.611442271974837e-05, "loss": 4.162, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 945 }, { "epoch": 1.2099199999999999, "grad_norm": 15.245156288146973, "learning_rate": 3.610439135788379e-05, "loss": 4.2607, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 946 }, { "epoch": 1.2112, "grad_norm": 17.49321174621582, "learning_rate": 3.6094348460740274e-05, "loss": 4.3135, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 947 }, { "epoch": 1.21248, "grad_norm": 15.731560707092285, "learning_rate": 3.608429403551138e-05, "loss": 4.4239, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 948 }, { "epoch": 1.21376, "grad_norm": 15.825453758239746, "learning_rate": 3.607422808939891e-05, "loss": 4.3505, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 949 }, { "epoch": 1.2150400000000001, "grad_norm": 15.00493049621582, "learning_rate": 3.60641506296129e-05, "loss": 4.1892, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 950 }, { "epoch": 1.21632, "grad_norm": 15.822216987609863, "learning_rate": 3.605406166337166e-05, "loss": 4.4125, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 951 }, { "epoch": 1.2176, "grad_norm": 16.197874069213867, "learning_rate": 3.604396119790173e-05, "loss": 4.3581, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 952 }, { "epoch": 1.21888, "grad_norm": 16.742456436157227, "learning_rate": 3.6033849240437886e-05, "loss": 4.2346, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 953 }, { "epoch": 1.22016, "grad_norm": 16.424421310424805, "learning_rate": 3.602372579822313e-05, "loss": 4.0616, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 954 }, { "epoch": 1.22144, "grad_norm": 14.441069602966309, "learning_rate": 3.6013590878508715e-05, "loss": 4.0493, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 955 }, { "epoch": 1.22272, "grad_norm": 16.310665130615234, "learning_rate": 3.600344448855407e-05, "loss": 4.2279, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 956 }, { "epoch": 1.224, "grad_norm": 15.51463508605957, "learning_rate": 3.5993286635626895e-05, "loss": 4.2336, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 957 }, { "epoch": 1.22528, "grad_norm": 15.929198265075684, "learning_rate": 3.598311732700306e-05, "loss": 4.5435, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 958 }, { "epoch": 1.22656, "grad_norm": 16.46451759338379, "learning_rate": 3.597293656996665e-05, "loss": 4.0871, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 959 }, { "epoch": 1.22784, "grad_norm": 16.358909606933594, "learning_rate": 3.596274437180996e-05, "loss": 4.0805, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 960 }, { "epoch": 1.22912, "grad_norm": 15.996970176696777, "learning_rate": 3.5952540739833475e-05, "loss": 4.4578, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 961 }, { "epoch": 1.2304, "grad_norm": 15.78232192993164, "learning_rate": 3.594232568134586e-05, "loss": 4.3493, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 962 }, { "epoch": 1.2316799999999999, "grad_norm": 15.226667404174805, "learning_rate": 3.593209920366398e-05, "loss": 4.1757, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 963 }, { "epoch": 1.23296, "grad_norm": 16.377689361572266, "learning_rate": 3.592186131411288e-05, "loss": 4.2727, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 964 }, { "epoch": 1.23424, "grad_norm": 15.260359764099121, "learning_rate": 3.591161202002575e-05, "loss": 4.1473, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 965 }, { "epoch": 1.23552, "grad_norm": 16.353187561035156, "learning_rate": 3.5901351328744e-05, "loss": 4.2242, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 966 }, { "epoch": 1.2368000000000001, "grad_norm": 16.69927978515625, "learning_rate": 3.589107924761715e-05, "loss": 3.9958, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 967 }, { "epoch": 1.23808, "grad_norm": 16.695707321166992, "learning_rate": 3.5880795784002905e-05, "loss": 4.4907, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 968 }, { "epoch": 1.23936, "grad_norm": 16.724018096923828, "learning_rate": 3.5870500945267134e-05, "loss": 4.3092, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 969 }, { "epoch": 1.24064, "grad_norm": 17.232332229614258, "learning_rate": 3.586019473878383e-05, "loss": 3.8225, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 970 }, { "epoch": 1.24192, "grad_norm": 16.317354202270508, "learning_rate": 3.584987717193514e-05, "loss": 4.1792, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 971 }, { "epoch": 1.2432, "grad_norm": 19.749584197998047, "learning_rate": 3.5839548252111346e-05, "loss": 4.3606, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 972 }, { "epoch": 1.24448, "grad_norm": 29.292116165161133, "learning_rate": 3.5829207986710874e-05, "loss": 4.3695, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 973 }, { "epoch": 1.24576, "grad_norm": 16.927831649780273, "learning_rate": 3.5818856383140246e-05, "loss": 4.2267, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 974 }, { "epoch": 1.24704, "grad_norm": 16.605165481567383, "learning_rate": 3.580849344881415e-05, "loss": 4.1218, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 975 }, { "epoch": 1.24832, "grad_norm": 15.698375701904297, "learning_rate": 3.5798119191155343e-05, "loss": 4.2431, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 976 }, { "epoch": 1.2496, "grad_norm": 18.704994201660156, "learning_rate": 3.578773361759473e-05, "loss": 4.4712, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 977 }, { "epoch": 1.25088, "grad_norm": 63.467403411865234, "learning_rate": 3.577733673557129e-05, "loss": 4.2358, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 978 }, { "epoch": 1.25216, "grad_norm": 17.310285568237305, "learning_rate": 3.576692855253213e-05, "loss": 4.1406, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 979 }, { "epoch": 1.2534399999999999, "grad_norm": 17.495189666748047, "learning_rate": 3.575650907593244e-05, "loss": 4.2955, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 980 }, { "epoch": 1.25472, "grad_norm": 15.187227249145508, "learning_rate": 3.5746078313235494e-05, "loss": 4.4052, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 981 }, { "epoch": 1.256, "grad_norm": 16.84073257446289, "learning_rate": 3.5735636271912656e-05, "loss": 4.2422, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 982 }, { "epoch": 1.25728, "grad_norm": 20.02716636657715, "learning_rate": 3.5725182959443366e-05, "loss": 4.4864, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 983 }, { "epoch": 1.2585600000000001, "grad_norm": 16.204689025878906, "learning_rate": 3.5714718383315146e-05, "loss": 4.5453, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 984 }, { "epoch": 1.25984, "grad_norm": 15.251053810119629, "learning_rate": 3.570424255102358e-05, "loss": 4.5599, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 985 }, { "epoch": 1.26112, "grad_norm": 15.495587348937988, "learning_rate": 3.56937554700723e-05, "loss": 4.2991, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 986 }, { "epoch": 1.2624, "grad_norm": 15.975513458251953, "learning_rate": 3.568325714797303e-05, "loss": 4.1023, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 987 }, { "epoch": 1.26368, "grad_norm": 14.610228538513184, "learning_rate": 3.567274759224551e-05, "loss": 3.9276, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 988 }, { "epoch": 1.2649599999999999, "grad_norm": 15.547951698303223, "learning_rate": 3.566222681041754e-05, "loss": 4.3215, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 989 }, { "epoch": 1.26624, "grad_norm": 15.440533638000488, "learning_rate": 3.5651694810024966e-05, "loss": 4.3097, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 990 }, { "epoch": 1.26752, "grad_norm": 15.79804515838623, "learning_rate": 3.564115159861167e-05, "loss": 4.2663, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 991 }, { "epoch": 1.2688, "grad_norm": 15.29565143585205, "learning_rate": 3.563059718372955e-05, "loss": 3.8997, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 992 }, { "epoch": 1.27008, "grad_norm": 15.172067642211914, "learning_rate": 3.562003157293855e-05, "loss": 4.3821, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 993 }, { "epoch": 1.27136, "grad_norm": 16.920780181884766, "learning_rate": 3.5609454773806616e-05, "loss": 4.6107, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 994 }, { "epoch": 1.27264, "grad_norm": 16.738370895385742, "learning_rate": 3.559886679390972e-05, "loss": 3.9626, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 995 }, { "epoch": 1.27392, "grad_norm": 15.778882026672363, "learning_rate": 3.558826764083183e-05, "loss": 4.2545, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 996 }, { "epoch": 1.2752, "grad_norm": 15.68743896484375, "learning_rate": 3.5577657322164935e-05, "loss": 4.2468, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 997 }, { "epoch": 1.27648, "grad_norm": 14.605131149291992, "learning_rate": 3.5567035845508995e-05, "loss": 4.2368, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 998 }, { "epoch": 1.27776, "grad_norm": 14.921552658081055, "learning_rate": 3.5556403218471995e-05, "loss": 4.0552, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 999 }, { "epoch": 1.27904, "grad_norm": 15.876103401184082, "learning_rate": 3.554575944866987e-05, "loss": 4.1379, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1000 }, { "epoch": 1.2803200000000001, "grad_norm": 14.502498626708984, "learning_rate": 3.553510454372658e-05, "loss": 4.0573, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1001 }, { "epoch": 1.2816, "grad_norm": 14.55681037902832, "learning_rate": 3.552443851127401e-05, "loss": 4.1747, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1002 }, { "epoch": 1.28288, "grad_norm": 15.291133880615234, "learning_rate": 3.551376135895207e-05, "loss": 4.3279, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1003 }, { "epoch": 1.28416, "grad_norm": 16.165782928466797, "learning_rate": 3.550307309440859e-05, "loss": 4.4675, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1004 }, { "epoch": 1.28544, "grad_norm": 51.84833526611328, "learning_rate": 3.549237372529938e-05, "loss": 4.2637, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1005 }, { "epoch": 1.2867199999999999, "grad_norm": 25.70952606201172, "learning_rate": 3.548166325928821e-05, "loss": 4.2948, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1006 }, { "epoch": 1.288, "grad_norm": 16.696762084960938, "learning_rate": 3.547094170404678e-05, "loss": 4.4551, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1007 }, { "epoch": 1.28928, "grad_norm": 16.091875076293945, "learning_rate": 3.546020906725474e-05, "loss": 4.4901, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1008 }, { "epoch": 1.29056, "grad_norm": 14.748930931091309, "learning_rate": 3.544946535659969e-05, "loss": 4.1029, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1009 }, { "epoch": 1.29184, "grad_norm": 17.37565040588379, "learning_rate": 3.543871057977715e-05, "loss": 4.3175, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1010 }, { "epoch": 1.29312, "grad_norm": 15.743502616882324, "learning_rate": 3.542794474449056e-05, "loss": 3.9688, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1011 }, { "epoch": 1.2944, "grad_norm": 17.950456619262695, "learning_rate": 3.54171678584513e-05, "loss": 4.308, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1012 }, { "epoch": 1.29568, "grad_norm": 16.0930233001709, "learning_rate": 3.540637992937865e-05, "loss": 4.2482, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 53.22, "memory/max_mem_allocated(gib)": 53.22, "step": 1013 }, { "epoch": 1.29696, "grad_norm": 17.97494888305664, "learning_rate": 3.53955809649998e-05, "loss": 4.4175, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1014 }, { "epoch": 1.29824, "grad_norm": 15.821087837219238, "learning_rate": 3.538477097304986e-05, "loss": 4.4562, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1015 }, { "epoch": 1.29952, "grad_norm": 15.741681098937988, "learning_rate": 3.537394996127182e-05, "loss": 4.2339, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1016 }, { "epoch": 1.3008, "grad_norm": 15.295578956604004, "learning_rate": 3.5363117937416574e-05, "loss": 4.0351, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1017 }, { "epoch": 1.3020800000000001, "grad_norm": 15.318325996398926, "learning_rate": 3.53522749092429e-05, "loss": 4.1458, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1018 }, { "epoch": 1.30336, "grad_norm": 14.9433012008667, "learning_rate": 3.534142088451746e-05, "loss": 4.3223, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1019 }, { "epoch": 1.30464, "grad_norm": 15.179170608520508, "learning_rate": 3.5330555871014795e-05, "loss": 4.0858, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1020 }, { "epoch": 1.30592, "grad_norm": 19.89581298828125, "learning_rate": 3.531967987651731e-05, "loss": 3.8967, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1021 }, { "epoch": 1.3072, "grad_norm": 16.490753173828125, "learning_rate": 3.530879290881529e-05, "loss": 3.8759, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1022 }, { "epoch": 1.3084799999999999, "grad_norm": 16.64446258544922, "learning_rate": 3.529789497570686e-05, "loss": 3.9608, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1023 }, { "epoch": 1.30976, "grad_norm": 16.836071014404297, "learning_rate": 3.5286986084998e-05, "loss": 4.4461, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1024 }, { "epoch": 1.31104, "grad_norm": 14.55358600616455, "learning_rate": 3.527606624450256e-05, "loss": 3.9898, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1025 }, { "epoch": 1.31232, "grad_norm": 17.034934997558594, "learning_rate": 3.526513546204222e-05, "loss": 4.0258, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1026 }, { "epoch": 1.3136, "grad_norm": 16.63248634338379, "learning_rate": 3.525419374544649e-05, "loss": 4.239, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1027 }, { "epoch": 1.31488, "grad_norm": 16.005216598510742, "learning_rate": 3.524324110255273e-05, "loss": 4.158, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1028 }, { "epoch": 1.31616, "grad_norm": 14.739058494567871, "learning_rate": 3.523227754120611e-05, "loss": 4.101, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1029 }, { "epoch": 1.31744, "grad_norm": 16.319005966186523, "learning_rate": 3.522130306925964e-05, "loss": 4.4399, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1030 }, { "epoch": 1.31872, "grad_norm": 15.06948471069336, "learning_rate": 3.5210317694574115e-05, "loss": 4.5956, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1031 }, { "epoch": 1.32, "grad_norm": 31.798206329345703, "learning_rate": 3.519932142501816e-05, "loss": 4.286, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1032 }, { "epoch": 1.32128, "grad_norm": 15.790671348571777, "learning_rate": 3.5188314268468205e-05, "loss": 4.0107, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1033 }, { "epoch": 1.32256, "grad_norm": 14.657661437988281, "learning_rate": 3.517729623280847e-05, "loss": 4.1367, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1034 }, { "epoch": 1.3238400000000001, "grad_norm": 15.374089241027832, "learning_rate": 3.516626732593098e-05, "loss": 4.0597, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1035 }, { "epoch": 1.32512, "grad_norm": 18.815425872802734, "learning_rate": 3.5155227555735524e-05, "loss": 4.3547, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1036 }, { "epoch": 1.3264, "grad_norm": 15.351123809814453, "learning_rate": 3.5144176930129694e-05, "loss": 4.2759, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1037 }, { "epoch": 1.32768, "grad_norm": 14.576592445373535, "learning_rate": 3.513311545702885e-05, "loss": 4.4712, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1038 }, { "epoch": 1.32896, "grad_norm": 15.152081489562988, "learning_rate": 3.5122043144356116e-05, "loss": 4.2152, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1039 }, { "epoch": 1.3302399999999999, "grad_norm": 14.34222412109375, "learning_rate": 3.51109600000424e-05, "loss": 4.228, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1040 }, { "epoch": 1.33152, "grad_norm": 15.50369644165039, "learning_rate": 3.5099866032026336e-05, "loss": 4.4125, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1041 }, { "epoch": 1.3328, "grad_norm": 15.945022583007812, "learning_rate": 3.508876124825434e-05, "loss": 4.0921, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1042 }, { "epoch": 1.33408, "grad_norm": 15.692319869995117, "learning_rate": 3.5077645656680555e-05, "loss": 4.6669, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1043 }, { "epoch": 1.33536, "grad_norm": 16.148906707763672, "learning_rate": 3.5066519265266886e-05, "loss": 4.2536, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1044 }, { "epoch": 1.33664, "grad_norm": 16.326745986938477, "learning_rate": 3.505538208198295e-05, "loss": 4.4086, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1045 }, { "epoch": 1.33792, "grad_norm": 15.900518417358398, "learning_rate": 3.504423411480612e-05, "loss": 4.713, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1046 }, { "epoch": 1.3392, "grad_norm": 14.326495170593262, "learning_rate": 3.5033075371721466e-05, "loss": 4.2289, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1047 }, { "epoch": 1.34048, "grad_norm": 16.679319381713867, "learning_rate": 3.5021905860721804e-05, "loss": 4.4747, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1048 }, { "epoch": 1.34176, "grad_norm": 15.183501243591309, "learning_rate": 3.501072558980764e-05, "loss": 4.3327, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1049 }, { "epoch": 1.34304, "grad_norm": 14.201594352722168, "learning_rate": 3.4999534566987194e-05, "loss": 4.5584, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1050 }, { "epoch": 1.34432, "grad_norm": 14.10416030883789, "learning_rate": 3.498833280027639e-05, "loss": 4.3579, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1051 }, { "epoch": 1.3456000000000001, "grad_norm": 15.599594116210938, "learning_rate": 3.497712029769885e-05, "loss": 4.2145, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1052 }, { "epoch": 1.34688, "grad_norm": 14.084314346313477, "learning_rate": 3.49658970672859e-05, "loss": 4.2118, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1053 }, { "epoch": 1.34816, "grad_norm": 16.16958999633789, "learning_rate": 3.49546631170765e-05, "loss": 4.138, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1054 }, { "epoch": 1.34944, "grad_norm": 15.930095672607422, "learning_rate": 3.4943418455117346e-05, "loss": 4.2249, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1055 }, { "epoch": 1.35072, "grad_norm": 15.789984703063965, "learning_rate": 3.493216308946277e-05, "loss": 4.3647, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1056 }, { "epoch": 1.3519999999999999, "grad_norm": 23.119319915771484, "learning_rate": 3.4920897028174794e-05, "loss": 4.5395, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1057 }, { "epoch": 1.35328, "grad_norm": 15.592639923095703, "learning_rate": 3.490962027932308e-05, "loss": 4.497, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1058 }, { "epoch": 1.35456, "grad_norm": 16.934551239013672, "learning_rate": 3.4898332850984964e-05, "loss": 4.5253, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1059 }, { "epoch": 1.35584, "grad_norm": 16.593069076538086, "learning_rate": 3.488703475124541e-05, "loss": 4.3498, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1060 }, { "epoch": 1.35712, "grad_norm": 17.84198570251465, "learning_rate": 3.487572598819706e-05, "loss": 4.1026, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1061 }, { "epoch": 1.3584, "grad_norm": 15.387799263000488, "learning_rate": 3.486440656994014e-05, "loss": 3.9896, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1062 }, { "epoch": 1.35968, "grad_norm": 14.909213066101074, "learning_rate": 3.4853076504582576e-05, "loss": 4.0839, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1063 }, { "epoch": 1.36096, "grad_norm": 14.352181434631348, "learning_rate": 3.4841735800239864e-05, "loss": 4.1778, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1064 }, { "epoch": 1.36224, "grad_norm": 16.534469604492188, "learning_rate": 3.483038446503515e-05, "loss": 4.3266, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1065 }, { "epoch": 1.36352, "grad_norm": 15.049989700317383, "learning_rate": 3.4819022507099184e-05, "loss": 4.2102, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1066 }, { "epoch": 1.3648, "grad_norm": 16.526430130004883, "learning_rate": 3.480764993457033e-05, "loss": 4.3921, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1067 }, { "epoch": 1.36608, "grad_norm": 14.708163261413574, "learning_rate": 3.4796266755594546e-05, "loss": 4.097, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1068 }, { "epoch": 1.3673600000000001, "grad_norm": 18.391281127929688, "learning_rate": 3.4784872978325395e-05, "loss": 4.4193, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1069 }, { "epoch": 1.36864, "grad_norm": 37.59843444824219, "learning_rate": 3.477346861092404e-05, "loss": 4.1296, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1070 }, { "epoch": 1.36992, "grad_norm": 15.971456527709961, "learning_rate": 3.47620536615592e-05, "loss": 4.812, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1071 }, { "epoch": 1.3712, "grad_norm": 14.904321670532227, "learning_rate": 3.4750628138407205e-05, "loss": 4.313, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1072 }, { "epoch": 1.37248, "grad_norm": 15.018211364746094, "learning_rate": 3.473919204965195e-05, "loss": 4.0724, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1073 }, { "epoch": 1.3737599999999999, "grad_norm": 14.574810028076172, "learning_rate": 3.472774540348489e-05, "loss": 4.1966, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1074 }, { "epoch": 1.37504, "grad_norm": 15.570128440856934, "learning_rate": 3.471628820810505e-05, "loss": 4.2824, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1075 }, { "epoch": 1.37632, "grad_norm": 15.629026412963867, "learning_rate": 3.4704820471719006e-05, "loss": 4.0728, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1076 }, { "epoch": 1.3776, "grad_norm": 16.011659622192383, "learning_rate": 3.469334220254088e-05, "loss": 4.3237, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1077 }, { "epoch": 1.37888, "grad_norm": 15.286029815673828, "learning_rate": 3.468185340879235e-05, "loss": 4.3451, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1078 }, { "epoch": 1.38016, "grad_norm": 15.829446792602539, "learning_rate": 3.4670354098702635e-05, "loss": 3.9666, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1079 }, { "epoch": 1.38144, "grad_norm": 15.030994415283203, "learning_rate": 3.465884428050847e-05, "loss": 4.2044, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1080 }, { "epoch": 1.38272, "grad_norm": 15.099084854125977, "learning_rate": 3.464732396245413e-05, "loss": 4.3913, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1081 }, { "epoch": 1.384, "grad_norm": 15.566056251525879, "learning_rate": 3.46357931527914e-05, "loss": 4.077, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1082 }, { "epoch": 1.38528, "grad_norm": 15.314682960510254, "learning_rate": 3.462425185977959e-05, "loss": 4.5165, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1083 }, { "epoch": 1.38656, "grad_norm": 14.586714744567871, "learning_rate": 3.461270009168552e-05, "loss": 4.3242, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1084 }, { "epoch": 1.38784, "grad_norm": 14.576754570007324, "learning_rate": 3.46011378567835e-05, "loss": 4.1664, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1085 }, { "epoch": 1.3891200000000001, "grad_norm": 14.982523918151855, "learning_rate": 3.4589565163355355e-05, "loss": 4.1156, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1086 }, { "epoch": 1.3904, "grad_norm": 15.379714012145996, "learning_rate": 3.457798201969038e-05, "loss": 4.4109, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1087 }, { "epoch": 1.39168, "grad_norm": 17.238454818725586, "learning_rate": 3.4566388434085394e-05, "loss": 3.9692, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1088 }, { "epoch": 1.39296, "grad_norm": 15.48144245147705, "learning_rate": 3.455478441484464e-05, "loss": 4.2445, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1089 }, { "epoch": 1.39424, "grad_norm": 14.638742446899414, "learning_rate": 3.454316997027987e-05, "loss": 3.9754, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1090 }, { "epoch": 1.3955199999999999, "grad_norm": 15.653816223144531, "learning_rate": 3.4531545108710305e-05, "loss": 4.205, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1091 }, { "epoch": 1.3968, "grad_norm": 17.404682159423828, "learning_rate": 3.451990983846262e-05, "loss": 3.8686, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1092 }, { "epoch": 1.39808, "grad_norm": 17.653629302978516, "learning_rate": 3.450826416787094e-05, "loss": 4.0302, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1093 }, { "epoch": 1.39936, "grad_norm": 14.77277660369873, "learning_rate": 3.449660810527684e-05, "loss": 4.4807, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1094 }, { "epoch": 1.40064, "grad_norm": 14.47414493560791, "learning_rate": 3.448494165902935e-05, "loss": 4.2076, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1095 }, { "epoch": 1.40192, "grad_norm": 14.530437469482422, "learning_rate": 3.4473264837484916e-05, "loss": 4.1402, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1096 }, { "epoch": 1.4032, "grad_norm": 15.442474365234375, "learning_rate": 3.446157764900745e-05, "loss": 4.2529, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1097 }, { "epoch": 1.40448, "grad_norm": 15.676329612731934, "learning_rate": 3.444988010196826e-05, "loss": 4.3528, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1098 }, { "epoch": 1.40576, "grad_norm": 14.467009544372559, "learning_rate": 3.4438172204746087e-05, "loss": 4.3056, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1099 }, { "epoch": 1.40704, "grad_norm": 15.311744689941406, "learning_rate": 3.442645396572708e-05, "loss": 4.3089, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1100 }, { "epoch": 1.40832, "grad_norm": 16.431495666503906, "learning_rate": 3.4414725393304803e-05, "loss": 4.5237, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1101 }, { "epoch": 1.4096, "grad_norm": 15.83206558227539, "learning_rate": 3.44029864958802e-05, "loss": 4.6651, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1102 }, { "epoch": 1.4108800000000001, "grad_norm": 14.92756175994873, "learning_rate": 3.4391237281861656e-05, "loss": 4.0164, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1103 }, { "epoch": 1.41216, "grad_norm": 15.300423622131348, "learning_rate": 3.437947775966488e-05, "loss": 4.2888, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1104 }, { "epoch": 1.41344, "grad_norm": 14.028885841369629, "learning_rate": 3.4367707937713034e-05, "loss": 4.3732, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1105 }, { "epoch": 1.41472, "grad_norm": 15.231103897094727, "learning_rate": 3.43559278244366e-05, "loss": 4.3547, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1106 }, { "epoch": 1.416, "grad_norm": 17.56267738342285, "learning_rate": 3.4344137428273475e-05, "loss": 4.2772, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1107 }, { "epoch": 1.4172799999999999, "grad_norm": 15.516504287719727, "learning_rate": 3.43323367576689e-05, "loss": 4.5418, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1108 }, { "epoch": 1.41856, "grad_norm": 13.656249046325684, "learning_rate": 3.432052582107546e-05, "loss": 4.2819, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1109 }, { "epoch": 1.41984, "grad_norm": 14.621837615966797, "learning_rate": 3.430870462695313e-05, "loss": 4.0438, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1110 }, { "epoch": 1.42112, "grad_norm": 16.25531578063965, "learning_rate": 3.429687318376921e-05, "loss": 4.0983, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1111 }, { "epoch": 1.4224, "grad_norm": 16.164945602416992, "learning_rate": 3.4285031499998344e-05, "loss": 4.3849, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1112 }, { "epoch": 1.42368, "grad_norm": 16.114845275878906, "learning_rate": 3.4273179584122504e-05, "loss": 4.3656, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1113 }, { "epoch": 1.42496, "grad_norm": 15.277655601501465, "learning_rate": 3.426131744463101e-05, "loss": 3.8349, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1114 }, { "epoch": 1.42624, "grad_norm": 15.788263320922852, "learning_rate": 3.4249445090020494e-05, "loss": 4.1356, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1115 }, { "epoch": 1.42752, "grad_norm": 15.389874458312988, "learning_rate": 3.423756252879489e-05, "loss": 4.1457, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1116 }, { "epoch": 1.4288, "grad_norm": 15.96115779876709, "learning_rate": 3.422566976946548e-05, "loss": 4.5717, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1117 }, { "epoch": 1.43008, "grad_norm": 14.993518829345703, "learning_rate": 3.421376682055081e-05, "loss": 4.0704, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1118 }, { "epoch": 1.43136, "grad_norm": 15.876618385314941, "learning_rate": 3.420185369057675e-05, "loss": 4.3316, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1119 }, { "epoch": 1.4326400000000001, "grad_norm": 14.204257011413574, "learning_rate": 3.418993038807646e-05, "loss": 4.2542, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1120 }, { "epoch": 1.43392, "grad_norm": 24.621044158935547, "learning_rate": 3.417799692159037e-05, "loss": 4.1934, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1121 }, { "epoch": 1.4352, "grad_norm": 14.873422622680664, "learning_rate": 3.416605329966622e-05, "loss": 4.3926, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1122 }, { "epoch": 1.43648, "grad_norm": 15.879744529724121, "learning_rate": 3.415409953085899e-05, "loss": 4.2, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1123 }, { "epoch": 1.43776, "grad_norm": 15.70806884765625, "learning_rate": 3.4142135623730954e-05, "loss": 4.2777, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1124 }, { "epoch": 1.4390399999999999, "grad_norm": 15.590438842773438, "learning_rate": 3.413016158685163e-05, "loss": 4.0886, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1125 }, { "epoch": 1.44032, "grad_norm": 15.583569526672363, "learning_rate": 3.411817742879781e-05, "loss": 4.3519, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1126 }, { "epoch": 1.4416, "grad_norm": 15.022205352783203, "learning_rate": 3.4106183158153515e-05, "loss": 4.2633, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1127 }, { "epoch": 1.44288, "grad_norm": 15.222976684570312, "learning_rate": 3.409417878351003e-05, "loss": 3.9181, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1128 }, { "epoch": 1.44416, "grad_norm": 14.417986869812012, "learning_rate": 3.4082164313465866e-05, "loss": 4.2088, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1129 }, { "epoch": 1.44544, "grad_norm": 15.321288108825684, "learning_rate": 3.407013975662676e-05, "loss": 4.3268, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1130 }, { "epoch": 1.44672, "grad_norm": 14.821831703186035, "learning_rate": 3.405810512160569e-05, "loss": 4.3237, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1131 }, { "epoch": 1.448, "grad_norm": 15.383459091186523, "learning_rate": 3.404606041702284e-05, "loss": 4.072, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1132 }, { "epoch": 1.44928, "grad_norm": 15.268060684204102, "learning_rate": 3.4034005651505597e-05, "loss": 4.0677, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1133 }, { "epoch": 1.45056, "grad_norm": 15.468233108520508, "learning_rate": 3.402194083368858e-05, "loss": 4.171, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1134 }, { "epoch": 1.45184, "grad_norm": 15.510820388793945, "learning_rate": 3.40098659722136e-05, "loss": 4.2539, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1135 }, { "epoch": 1.45312, "grad_norm": 15.022400856018066, "learning_rate": 3.3997781075729655e-05, "loss": 4.3045, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1136 }, { "epoch": 1.4544000000000001, "grad_norm": 14.931631088256836, "learning_rate": 3.398568615289293e-05, "loss": 4.1982, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1137 }, { "epoch": 1.45568, "grad_norm": 47.492881774902344, "learning_rate": 3.397358121236679e-05, "loss": 3.9834, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1138 }, { "epoch": 1.45696, "grad_norm": 15.770800590515137, "learning_rate": 3.396146626282179e-05, "loss": 4.2676, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1139 }, { "epoch": 1.45824, "grad_norm": 15.558440208435059, "learning_rate": 3.394934131293565e-05, "loss": 4.1565, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1140 }, { "epoch": 1.45952, "grad_norm": 14.351847648620605, "learning_rate": 3.393720637139323e-05, "loss": 4.2797, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1141 }, { "epoch": 1.4607999999999999, "grad_norm": 15.670693397521973, "learning_rate": 3.3925061446886585e-05, "loss": 4.4437, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1142 }, { "epoch": 1.46208, "grad_norm": 15.796968460083008, "learning_rate": 3.3912906548114886e-05, "loss": 4.3616, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1143 }, { "epoch": 1.46336, "grad_norm": 14.501537322998047, "learning_rate": 3.3900741683784475e-05, "loss": 4.3504, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1144 }, { "epoch": 1.46464, "grad_norm": 14.216983795166016, "learning_rate": 3.388856686260881e-05, "loss": 3.9954, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1145 }, { "epoch": 1.4659200000000001, "grad_norm": 14.343988418579102, "learning_rate": 3.3876382093308496e-05, "loss": 4.0981, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1146 }, { "epoch": 1.4672, "grad_norm": 16.24412727355957, "learning_rate": 3.386418738461126e-05, "loss": 4.022, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1147 }, { "epoch": 1.46848, "grad_norm": 14.663631439208984, "learning_rate": 3.385198274525194e-05, "loss": 4.1032, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1148 }, { "epoch": 1.46976, "grad_norm": 16.129392623901367, "learning_rate": 3.383976818397251e-05, "loss": 4.2639, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1149 }, { "epoch": 1.47104, "grad_norm": 16.418359756469727, "learning_rate": 3.382754370952202e-05, "loss": 4.1638, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1150 }, { "epoch": 1.47232, "grad_norm": 16.45438575744629, "learning_rate": 3.381530933065664e-05, "loss": 4.5039, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1151 }, { "epoch": 1.4736, "grad_norm": 13.573773384094238, "learning_rate": 3.380306505613963e-05, "loss": 4.0963, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1152 }, { "epoch": 1.47488, "grad_norm": 15.476675033569336, "learning_rate": 3.379081089474134e-05, "loss": 4.1135, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1153 }, { "epoch": 1.4761600000000001, "grad_norm": 14.352560043334961, "learning_rate": 3.37785468552392e-05, "loss": 3.8356, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1154 }, { "epoch": 1.47744, "grad_norm": 14.227150917053223, "learning_rate": 3.376627294641772e-05, "loss": 4.3278, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1155 }, { "epoch": 1.47872, "grad_norm": 14.87662410736084, "learning_rate": 3.375398917706847e-05, "loss": 4.1578, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1156 }, { "epoch": 1.48, "grad_norm": 15.396602630615234, "learning_rate": 3.3741695555990084e-05, "loss": 4.3296, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1157 }, { "epoch": 1.48128, "grad_norm": 16.081050872802734, "learning_rate": 3.372939209198826e-05, "loss": 4.291, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1158 }, { "epoch": 1.4825599999999999, "grad_norm": 15.083260536193848, "learning_rate": 3.371707879387575e-05, "loss": 4.1143, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1159 }, { "epoch": 1.48384, "grad_norm": 14.98670768737793, "learning_rate": 3.370475567047233e-05, "loss": 4.5254, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1160 }, { "epoch": 1.48512, "grad_norm": 16.507051467895508, "learning_rate": 3.3692422730604836e-05, "loss": 4.0417, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1161 }, { "epoch": 1.4864, "grad_norm": 15.062824249267578, "learning_rate": 3.3680079983107115e-05, "loss": 3.9378, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1162 }, { "epoch": 1.4876800000000001, "grad_norm": 14.346256256103516, "learning_rate": 3.3667727436820065e-05, "loss": 4.0468, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1163 }, { "epoch": 1.48896, "grad_norm": 14.234550476074219, "learning_rate": 3.3655365100591573e-05, "loss": 3.9257, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1164 }, { "epoch": 1.49024, "grad_norm": 14.406280517578125, "learning_rate": 3.364299298327656e-05, "loss": 4.2173, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1165 }, { "epoch": 1.49152, "grad_norm": 15.705536842346191, "learning_rate": 3.363061109373694e-05, "loss": 4.4288, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1166 }, { "epoch": 1.4928, "grad_norm": 14.665766716003418, "learning_rate": 3.3618219440841646e-05, "loss": 4.2706, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1167 }, { "epoch": 1.49408, "grad_norm": 15.33595085144043, "learning_rate": 3.3605818033466575e-05, "loss": 4.1641, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1168 }, { "epoch": 1.49536, "grad_norm": 15.589144706726074, "learning_rate": 3.359340688049464e-05, "loss": 3.9316, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1169 }, { "epoch": 1.49664, "grad_norm": 15.027640342712402, "learning_rate": 3.358098599081571e-05, "loss": 4.2636, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1170 }, { "epoch": 1.49792, "grad_norm": 13.99375057220459, "learning_rate": 3.356855537332664e-05, "loss": 4.0909, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1171 }, { "epoch": 1.4992, "grad_norm": 15.029703140258789, "learning_rate": 3.355611503693126e-05, "loss": 4.2215, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1172 }, { "epoch": 1.50048, "grad_norm": 14.954790115356445, "learning_rate": 3.3543664990540356e-05, "loss": 4.3499, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1173 }, { "epoch": 1.50176, "grad_norm": 15.882973670959473, "learning_rate": 3.353120524307165e-05, "loss": 4.112, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1174 }, { "epoch": 1.50304, "grad_norm": 14.01845932006836, "learning_rate": 3.351873580344985e-05, "loss": 4.2318, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1175 }, { "epoch": 1.5043199999999999, "grad_norm": 13.858345031738281, "learning_rate": 3.3506256680606566e-05, "loss": 3.9698, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1176 }, { "epoch": 1.5056, "grad_norm": 15.051299095153809, "learning_rate": 3.3493767883480386e-05, "loss": 4.5413, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1177 }, { "epoch": 1.50688, "grad_norm": 14.641960144042969, "learning_rate": 3.3481269421016794e-05, "loss": 4.1586, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1178 }, { "epoch": 1.50816, "grad_norm": 14.41397476196289, "learning_rate": 3.346876130216821e-05, "loss": 4.1317, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1179 }, { "epoch": 1.5094400000000001, "grad_norm": 14.825826644897461, "learning_rate": 3.345624353589395e-05, "loss": 4.4749, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1180 }, { "epoch": 1.51072, "grad_norm": 13.700516700744629, "learning_rate": 3.34437161311603e-05, "loss": 4.3146, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1181 }, { "epoch": 1.512, "grad_norm": 14.507159233093262, "learning_rate": 3.3431179096940375e-05, "loss": 4.1396, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1182 }, { "epoch": 1.51328, "grad_norm": 14.209482192993164, "learning_rate": 3.341863244221423e-05, "loss": 3.8859, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1183 }, { "epoch": 1.51456, "grad_norm": 14.723806381225586, "learning_rate": 3.340607617596881e-05, "loss": 4.2177, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1184 }, { "epoch": 1.5158399999999999, "grad_norm": 14.834473609924316, "learning_rate": 3.339351030719793e-05, "loss": 4.0955, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1185 }, { "epoch": 1.51712, "grad_norm": 14.386499404907227, "learning_rate": 3.33809348449023e-05, "loss": 4.5541, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1186 }, { "epoch": 1.5184, "grad_norm": 13.854923248291016, "learning_rate": 3.3368349798089484e-05, "loss": 4.1747, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1187 }, { "epoch": 1.5196800000000001, "grad_norm": 14.581097602844238, "learning_rate": 3.335575517577391e-05, "loss": 3.9461, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1188 }, { "epoch": 1.52096, "grad_norm": 14.614777565002441, "learning_rate": 3.33431509869769e-05, "loss": 4.3325, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1189 }, { "epoch": 1.52224, "grad_norm": 14.485095977783203, "learning_rate": 3.333053724072658e-05, "loss": 4.3151, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1190 }, { "epoch": 1.52352, "grad_norm": 15.126505851745605, "learning_rate": 3.331791394605795e-05, "loss": 4.2445, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1191 }, { "epoch": 1.5248, "grad_norm": 15.193578720092773, "learning_rate": 3.3305281112012846e-05, "loss": 4.2167, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1192 }, { "epoch": 1.5260799999999999, "grad_norm": 14.187077522277832, "learning_rate": 3.329263874763993e-05, "loss": 4.2819, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1193 }, { "epoch": 1.52736, "grad_norm": 14.074124336242676, "learning_rate": 3.32799868619947e-05, "loss": 3.9646, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1194 }, { "epoch": 1.52864, "grad_norm": 14.051620483398438, "learning_rate": 3.326732546413947e-05, "loss": 4.0985, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1195 }, { "epoch": 1.52992, "grad_norm": 14.389701843261719, "learning_rate": 3.3254654563143356e-05, "loss": 4.1248, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1196 }, { "epoch": 1.5312000000000001, "grad_norm": 14.51430892944336, "learning_rate": 3.3241974168082304e-05, "loss": 4.2141, "memory/device_mem_reserved(gib)": 65.34, "memory/max_mem_active(gib)": 54.27, "memory/max_mem_allocated(gib)": 54.27, "step": 1197 }, { "epoch": 1.53248, "grad_norm": 15.953338623046875, "learning_rate": 3.3229284288039036e-05, "loss": 4.186, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1198 }, { "epoch": 1.53376, "grad_norm": 13.826251983642578, "learning_rate": 3.321658493210309e-05, "loss": 4.0318, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1199 }, { "epoch": 1.53504, "grad_norm": 15.106616973876953, "learning_rate": 3.320387610937077e-05, "loss": 4.1337, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1200 }, { "epoch": 1.53632, "grad_norm": 17.24283790588379, "learning_rate": 3.319115782894517e-05, "loss": 3.9962, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1201 }, { "epoch": 1.5375999999999999, "grad_norm": 14.808767318725586, "learning_rate": 3.317843009993618e-05, "loss": 4.195, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1202 }, { "epoch": 1.53888, "grad_norm": 14.361788749694824, "learning_rate": 3.3165692931460426e-05, "loss": 4.2141, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1203 }, { "epoch": 1.54016, "grad_norm": 14.61403751373291, "learning_rate": 3.315294633264129e-05, "loss": 4.3431, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1204 }, { "epoch": 1.5414400000000001, "grad_norm": 13.285611152648926, "learning_rate": 3.314019031260896e-05, "loss": 4.1018, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1205 }, { "epoch": 1.54272, "grad_norm": 15.57189655303955, "learning_rate": 3.3127424880500306e-05, "loss": 4.3293, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1206 }, { "epoch": 1.544, "grad_norm": 14.886062622070312, "learning_rate": 3.311465004545899e-05, "loss": 4.3304, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1207 }, { "epoch": 1.54528, "grad_norm": 14.846166610717773, "learning_rate": 3.310186581663539e-05, "loss": 4.1421, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1208 }, { "epoch": 1.54656, "grad_norm": 14.44909954071045, "learning_rate": 3.308907220318661e-05, "loss": 4.2635, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1209 }, { "epoch": 1.5478399999999999, "grad_norm": 15.352371215820312, "learning_rate": 3.3076269214276475e-05, "loss": 4.3451, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1210 }, { "epoch": 1.54912, "grad_norm": 14.692724227905273, "learning_rate": 3.306345685907553e-05, "loss": 4.109, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1211 }, { "epoch": 1.5504, "grad_norm": 13.920536994934082, "learning_rate": 3.305063514676105e-05, "loss": 4.2631, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1212 }, { "epoch": 1.55168, "grad_norm": 15.575704574584961, "learning_rate": 3.303780408651698e-05, "loss": 4.232, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1213 }, { "epoch": 1.5529600000000001, "grad_norm": 15.225204467773438, "learning_rate": 3.302496368753395e-05, "loss": 4.6117, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1214 }, { "epoch": 1.55424, "grad_norm": 14.405707359313965, "learning_rate": 3.3012113959009325e-05, "loss": 4.1257, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1215 }, { "epoch": 1.55552, "grad_norm": 14.353704452514648, "learning_rate": 3.299925491014713e-05, "loss": 4.0073, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1216 }, { "epoch": 1.5568, "grad_norm": 14.446013450622559, "learning_rate": 3.298638655015805e-05, "loss": 4.2436, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1217 }, { "epoch": 1.55808, "grad_norm": 14.489872932434082, "learning_rate": 3.2973508888259464e-05, "loss": 4.1438, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1218 }, { "epoch": 1.5593599999999999, "grad_norm": 15.32996940612793, "learning_rate": 3.29606219336754e-05, "loss": 4.5156, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1219 }, { "epoch": 1.56064, "grad_norm": 14.936354637145996, "learning_rate": 3.294772569563656e-05, "loss": 3.9986, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1220 }, { "epoch": 1.56192, "grad_norm": 14.159611701965332, "learning_rate": 3.293482018338026e-05, "loss": 4.322, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1221 }, { "epoch": 1.5632000000000001, "grad_norm": 13.631118774414062, "learning_rate": 3.29219054061505e-05, "loss": 3.8453, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1222 }, { "epoch": 1.56448, "grad_norm": 15.167376518249512, "learning_rate": 3.290898137319787e-05, "loss": 3.8898, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1223 }, { "epoch": 1.56576, "grad_norm": 14.3866548538208, "learning_rate": 3.289604809377965e-05, "loss": 4.2311, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1224 }, { "epoch": 1.56704, "grad_norm": 13.996379852294922, "learning_rate": 3.2883105577159696e-05, "loss": 3.8827, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1225 }, { "epoch": 1.56832, "grad_norm": 14.073110580444336, "learning_rate": 3.287015383260849e-05, "loss": 4.445, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1226 }, { "epoch": 1.5695999999999999, "grad_norm": 14.286181449890137, "learning_rate": 3.285719286940313e-05, "loss": 3.8809, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1227 }, { "epoch": 1.57088, "grad_norm": 15.158244132995605, "learning_rate": 3.2844222696827314e-05, "loss": 4.2471, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1228 }, { "epoch": 1.57216, "grad_norm": 14.138551712036133, "learning_rate": 3.283124332417134e-05, "loss": 4.2009, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1229 }, { "epoch": 1.57344, "grad_norm": 14.78547191619873, "learning_rate": 3.28182547607321e-05, "loss": 4.4651, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1230 }, { "epoch": 1.5747200000000001, "grad_norm": 13.405298233032227, "learning_rate": 3.280525701581305e-05, "loss": 4.1825, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1231 }, { "epoch": 1.576, "grad_norm": 13.926490783691406, "learning_rate": 3.279225009872424e-05, "loss": 4.0357, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1232 }, { "epoch": 1.57728, "grad_norm": 14.486114501953125, "learning_rate": 3.27792340187823e-05, "loss": 4.2202, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1233 }, { "epoch": 1.57856, "grad_norm": 14.667471885681152, "learning_rate": 3.276620878531039e-05, "loss": 4.3757, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1234 }, { "epoch": 1.57984, "grad_norm": 14.271806716918945, "learning_rate": 3.2753174407638244e-05, "loss": 4.3504, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1235 }, { "epoch": 1.5811199999999999, "grad_norm": 14.506010055541992, "learning_rate": 3.274013089510216e-05, "loss": 4.2405, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1236 }, { "epoch": 1.5824, "grad_norm": 15.74147891998291, "learning_rate": 3.272707825704495e-05, "loss": 4.7037, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1237 }, { "epoch": 1.58368, "grad_norm": 15.017613410949707, "learning_rate": 3.271401650281599e-05, "loss": 4.2876, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1238 }, { "epoch": 1.5849600000000001, "grad_norm": 14.456225395202637, "learning_rate": 3.270094564177117e-05, "loss": 4.3953, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1239 }, { "epoch": 1.58624, "grad_norm": 14.40240478515625, "learning_rate": 3.268786568327291e-05, "loss": 4.2341, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1240 }, { "epoch": 1.58752, "grad_norm": 14.159533500671387, "learning_rate": 3.2674776636690145e-05, "loss": 4.0423, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1241 }, { "epoch": 1.5888, "grad_norm": 14.27002239227295, "learning_rate": 3.266167851139831e-05, "loss": 4.0854, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1242 }, { "epoch": 1.59008, "grad_norm": 14.236452102661133, "learning_rate": 3.264857131677936e-05, "loss": 4.089, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1243 }, { "epoch": 1.5913599999999999, "grad_norm": 13.573465347290039, "learning_rate": 3.263545506222172e-05, "loss": 3.7862, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1244 }, { "epoch": 1.5926399999999998, "grad_norm": 22.400068283081055, "learning_rate": 3.262232975712035e-05, "loss": 4.4782, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1245 }, { "epoch": 1.59392, "grad_norm": 15.12575626373291, "learning_rate": 3.260919541087664e-05, "loss": 4.2706, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1246 }, { "epoch": 1.5952, "grad_norm": 15.262170791625977, "learning_rate": 3.259605203289848e-05, "loss": 4.3286, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1247 }, { "epoch": 1.5964800000000001, "grad_norm": 15.339559555053711, "learning_rate": 3.2582899632600255e-05, "loss": 4.3401, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1248 }, { "epoch": 1.59776, "grad_norm": 14.960271835327148, "learning_rate": 3.2569738219402755e-05, "loss": 4.5036, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1249 }, { "epoch": 1.59904, "grad_norm": 14.846858978271484, "learning_rate": 3.255656780273328e-05, "loss": 4.1115, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1250 }, { "epoch": 1.60032, "grad_norm": 14.655657768249512, "learning_rate": 3.2543388392025555e-05, "loss": 3.9891, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1251 }, { "epoch": 1.6016, "grad_norm": 14.099019050598145, "learning_rate": 3.2530199996719735e-05, "loss": 4.5482, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1252 }, { "epoch": 1.6028799999999999, "grad_norm": 13.58446216583252, "learning_rate": 3.2517002626262435e-05, "loss": 4.1794, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1253 }, { "epoch": 1.60416, "grad_norm": 14.937554359436035, "learning_rate": 3.250379629010669e-05, "loss": 4.2648, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1254 }, { "epoch": 1.60544, "grad_norm": 14.491524696350098, "learning_rate": 3.249058099771196e-05, "loss": 3.9969, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1255 }, { "epoch": 1.6067200000000001, "grad_norm": 14.63871955871582, "learning_rate": 3.2477356758544094e-05, "loss": 4.3178, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1256 }, { "epoch": 1.608, "grad_norm": 13.90291976928711, "learning_rate": 3.2464123582075386e-05, "loss": 4.045, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1257 }, { "epoch": 1.60928, "grad_norm": 14.005216598510742, "learning_rate": 3.2450881477784525e-05, "loss": 4.2078, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1258 }, { "epoch": 1.61056, "grad_norm": 13.534796714782715, "learning_rate": 3.2437630455156574e-05, "loss": 4.1029, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1259 }, { "epoch": 1.61184, "grad_norm": 14.932246208190918, "learning_rate": 3.2424370523683e-05, "loss": 4.1447, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1260 }, { "epoch": 1.6131199999999999, "grad_norm": 15.200605392456055, "learning_rate": 3.241110169286164e-05, "loss": 3.9498, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1261 }, { "epoch": 1.6143999999999998, "grad_norm": 15.177305221557617, "learning_rate": 3.239782397219672e-05, "loss": 3.9668, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1262 }, { "epoch": 1.61568, "grad_norm": 14.630541801452637, "learning_rate": 3.2384537371198836e-05, "loss": 4.0992, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1263 }, { "epoch": 1.61696, "grad_norm": 14.6979341506958, "learning_rate": 3.237124189938492e-05, "loss": 4.1119, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1264 }, { "epoch": 1.6182400000000001, "grad_norm": 13.778735160827637, "learning_rate": 3.2357937566278285e-05, "loss": 4.2712, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1265 }, { "epoch": 1.61952, "grad_norm": 14.245524406433105, "learning_rate": 3.2344624381408576e-05, "loss": 4.0616, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1266 }, { "epoch": 1.6208, "grad_norm": 14.114792823791504, "learning_rate": 3.233130235431178e-05, "loss": 4.113, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1267 }, { "epoch": 1.62208, "grad_norm": 14.233176231384277, "learning_rate": 3.231797149453022e-05, "loss": 4.4252, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1268 }, { "epoch": 1.62336, "grad_norm": 14.690563201904297, "learning_rate": 3.230463181161254e-05, "loss": 4.1633, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1269 }, { "epoch": 1.6246399999999999, "grad_norm": 13.019030570983887, "learning_rate": 3.229128331511372e-05, "loss": 3.9365, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1270 }, { "epoch": 1.62592, "grad_norm": 13.813471794128418, "learning_rate": 3.227792601459504e-05, "loss": 4.0316, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1271 }, { "epoch": 1.6272, "grad_norm": 14.953437805175781, "learning_rate": 3.226455991962408e-05, "loss": 4.3646, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1272 }, { "epoch": 1.6284800000000001, "grad_norm": 13.821457862854004, "learning_rate": 3.2251185039774735e-05, "loss": 4.1646, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1273 }, { "epoch": 1.62976, "grad_norm": 12.840636253356934, "learning_rate": 3.2237801384627186e-05, "loss": 4.1467, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1274 }, { "epoch": 1.63104, "grad_norm": 14.32498550415039, "learning_rate": 3.2224408963767895e-05, "loss": 4.2494, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1275 }, { "epoch": 1.63232, "grad_norm": 14.14394760131836, "learning_rate": 3.221100778678961e-05, "loss": 3.9432, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1276 }, { "epoch": 1.6336, "grad_norm": 13.718249320983887, "learning_rate": 3.219759786329134e-05, "loss": 4.2889, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1277 }, { "epoch": 1.6348799999999999, "grad_norm": 14.316757202148438, "learning_rate": 3.2184179202878376e-05, "loss": 4.2235, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1278 }, { "epoch": 1.6361599999999998, "grad_norm": 13.993709564208984, "learning_rate": 3.217075181516225e-05, "loss": 4.0639, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1279 }, { "epoch": 1.63744, "grad_norm": 15.107207298278809, "learning_rate": 3.2157315709760754e-05, "loss": 4.2641, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1280 }, { "epoch": 1.63872, "grad_norm": 15.013465881347656, "learning_rate": 3.214387089629793e-05, "loss": 4.4169, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1281 }, { "epoch": 1.6400000000000001, "grad_norm": 13.863079071044922, "learning_rate": 3.2130417384404036e-05, "loss": 4.134, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1282 }, { "epoch": 1.64128, "grad_norm": 14.16226577758789, "learning_rate": 3.211695518371559e-05, "loss": 4.0818, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1283 }, { "epoch": 1.64256, "grad_norm": 14.339040756225586, "learning_rate": 3.210348430387531e-05, "loss": 4.2264, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1284 }, { "epoch": 1.64384, "grad_norm": 14.746076583862305, "learning_rate": 3.2090004754532135e-05, "loss": 4.1004, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1285 }, { "epoch": 1.64512, "grad_norm": 13.25551986694336, "learning_rate": 3.2076516545341225e-05, "loss": 4.1162, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1286 }, { "epoch": 1.6463999999999999, "grad_norm": 14.245418548583984, "learning_rate": 3.206301968596393e-05, "loss": 4.1452, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1287 }, { "epoch": 1.64768, "grad_norm": 14.025616645812988, "learning_rate": 3.204951418606782e-05, "loss": 4.26, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1288 }, { "epoch": 1.64896, "grad_norm": 14.359689712524414, "learning_rate": 3.203600005532661e-05, "loss": 4.2453, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1289 }, { "epoch": 1.6502400000000002, "grad_norm": 14.336729049682617, "learning_rate": 3.202247730342024e-05, "loss": 4.2576, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1290 }, { "epoch": 1.65152, "grad_norm": 15.086668014526367, "learning_rate": 3.20089459400348e-05, "loss": 4.4027, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1291 }, { "epoch": 1.6528, "grad_norm": 15.22011947631836, "learning_rate": 3.199540597486256e-05, "loss": 4.2955, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1292 }, { "epoch": 1.65408, "grad_norm": 15.547504425048828, "learning_rate": 3.198185741760194e-05, "loss": 4.3039, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1293 }, { "epoch": 1.65536, "grad_norm": 13.982314109802246, "learning_rate": 3.1968300277957545e-05, "loss": 4.2333, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1294 }, { "epoch": 1.65664, "grad_norm": 14.604992866516113, "learning_rate": 3.195473456564008e-05, "loss": 4.3492, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1295 }, { "epoch": 1.6579199999999998, "grad_norm": 13.919499397277832, "learning_rate": 3.194116029036642e-05, "loss": 3.7746, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1296 }, { "epoch": 1.6592, "grad_norm": 14.20473575592041, "learning_rate": 3.1927577461859574e-05, "loss": 3.912, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1297 }, { "epoch": 1.66048, "grad_norm": 14.29569149017334, "learning_rate": 3.191398608984867e-05, "loss": 3.971, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1298 }, { "epoch": 1.6617600000000001, "grad_norm": 14.910073280334473, "learning_rate": 3.190038618406896e-05, "loss": 4.1162, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1299 }, { "epoch": 1.66304, "grad_norm": 14.339762687683105, "learning_rate": 3.18867777542618e-05, "loss": 4.0002, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1300 }, { "epoch": 1.66432, "grad_norm": 14.86080551147461, "learning_rate": 3.1873160810174656e-05, "loss": 4.0906, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1301 }, { "epoch": 1.6656, "grad_norm": 14.78523063659668, "learning_rate": 3.185953536156111e-05, "loss": 4.3576, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1302 }, { "epoch": 1.66688, "grad_norm": 22.70904541015625, "learning_rate": 3.18459014181808e-05, "loss": 4.3949, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1303 }, { "epoch": 1.6681599999999999, "grad_norm": 14.468226432800293, "learning_rate": 3.183225898979948e-05, "loss": 4.117, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1304 }, { "epoch": 1.66944, "grad_norm": 14.703326225280762, "learning_rate": 3.1818608086188966e-05, "loss": 4.1001, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1305 }, { "epoch": 1.67072, "grad_norm": 14.300446510314941, "learning_rate": 3.180494871712715e-05, "loss": 4.0559, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1306 }, { "epoch": 1.6720000000000002, "grad_norm": 14.053755760192871, "learning_rate": 3.1791280892397986e-05, "loss": 4.3181, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1307 }, { "epoch": 1.67328, "grad_norm": 14.288751602172852, "learning_rate": 3.177760462179149e-05, "loss": 3.9755, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1308 }, { "epoch": 1.67456, "grad_norm": 17.896453857421875, "learning_rate": 3.1763919915103715e-05, "loss": 4.3941, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1309 }, { "epoch": 1.67584, "grad_norm": 14.315335273742676, "learning_rate": 3.175022678213677e-05, "loss": 4.2007, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1310 }, { "epoch": 1.67712, "grad_norm": 15.41522216796875, "learning_rate": 3.17365252326988e-05, "loss": 4.0267, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1311 }, { "epoch": 1.6784, "grad_norm": 16.79496955871582, "learning_rate": 3.172281527660395e-05, "loss": 3.8764, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1312 }, { "epoch": 1.6796799999999998, "grad_norm": 14.01526165008545, "learning_rate": 3.1709096923672434e-05, "loss": 4.3184, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1313 }, { "epoch": 1.68096, "grad_norm": 14.408720016479492, "learning_rate": 3.1695370183730445e-05, "loss": 4.2415, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1314 }, { "epoch": 1.68224, "grad_norm": 15.082876205444336, "learning_rate": 3.168163506661019e-05, "loss": 4.3213, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1315 }, { "epoch": 1.6835200000000001, "grad_norm": 14.241203308105469, "learning_rate": 3.1667891582149886e-05, "loss": 3.8097, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1316 }, { "epoch": 1.6848, "grad_norm": 14.221529960632324, "learning_rate": 3.165413974019373e-05, "loss": 4.1591, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1317 }, { "epoch": 1.68608, "grad_norm": 14.426427841186523, "learning_rate": 3.1640379550591926e-05, "loss": 4.1183, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1318 }, { "epoch": 1.68736, "grad_norm": 13.680326461791992, "learning_rate": 3.1626611023200635e-05, "loss": 3.9965, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1319 }, { "epoch": 1.68864, "grad_norm": 14.396495819091797, "learning_rate": 3.161283416788201e-05, "loss": 4.1213, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1320 }, { "epoch": 1.6899199999999999, "grad_norm": 14.055232048034668, "learning_rate": 3.159904899450414e-05, "loss": 4.0751, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1321 }, { "epoch": 1.6912, "grad_norm": 14.910771369934082, "learning_rate": 3.158525551294111e-05, "loss": 4.2089, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1322 }, { "epoch": 1.69248, "grad_norm": 13.511354446411133, "learning_rate": 3.157145373307293e-05, "loss": 3.9663, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1323 }, { "epoch": 1.6937600000000002, "grad_norm": 14.98355484008789, "learning_rate": 3.155764366478556e-05, "loss": 4.1981, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1324 }, { "epoch": 1.69504, "grad_norm": 14.73047161102295, "learning_rate": 3.154382531797089e-05, "loss": 4.1599, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1325 }, { "epoch": 1.69632, "grad_norm": 14.377279281616211, "learning_rate": 3.152999870252676e-05, "loss": 4.2095, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1326 }, { "epoch": 1.6976, "grad_norm": 14.925347328186035, "learning_rate": 3.1516163828356915e-05, "loss": 4.2305, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1327 }, { "epoch": 1.69888, "grad_norm": 14.57272720336914, "learning_rate": 3.150232070537101e-05, "loss": 4.1276, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1328 }, { "epoch": 1.70016, "grad_norm": 15.312063217163086, "learning_rate": 3.148846934348464e-05, "loss": 3.8599, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1329 }, { "epoch": 1.7014399999999998, "grad_norm": 13.335684776306152, "learning_rate": 3.147460975261926e-05, "loss": 3.8911, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1330 }, { "epoch": 1.70272, "grad_norm": 13.39035701751709, "learning_rate": 3.1460741942702256e-05, "loss": 4.2067, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1331 }, { "epoch": 1.704, "grad_norm": 14.172867774963379, "learning_rate": 3.144686592366688e-05, "loss": 4.067, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1332 }, { "epoch": 1.7052800000000001, "grad_norm": 14.541532516479492, "learning_rate": 3.143298170545226e-05, "loss": 3.9427, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1333 }, { "epoch": 1.70656, "grad_norm": 13.988238334655762, "learning_rate": 3.141908929800342e-05, "loss": 4.0355, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1334 }, { "epoch": 1.70784, "grad_norm": 14.762003898620605, "learning_rate": 3.140518871127122e-05, "loss": 4.2424, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1335 }, { "epoch": 1.70912, "grad_norm": 13.87575626373291, "learning_rate": 3.139127995521241e-05, "loss": 4.0594, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1336 }, { "epoch": 1.7104, "grad_norm": 14.438685417175293, "learning_rate": 3.137736303978956e-05, "loss": 4.1803, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1337 }, { "epoch": 1.7116799999999999, "grad_norm": 14.13992691040039, "learning_rate": 3.136343797497112e-05, "loss": 4.2038, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1338 }, { "epoch": 1.71296, "grad_norm": 13.909544944763184, "learning_rate": 3.134950477073134e-05, "loss": 4.2244, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1339 }, { "epoch": 1.71424, "grad_norm": 15.435203552246094, "learning_rate": 3.1335563437050316e-05, "loss": 3.8339, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1340 }, { "epoch": 1.7155200000000002, "grad_norm": 14.367059707641602, "learning_rate": 3.1321613983913984e-05, "loss": 3.9905, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1341 }, { "epoch": 1.7168, "grad_norm": 16.00929069519043, "learning_rate": 3.130765642131408e-05, "loss": 4.0742, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1342 }, { "epoch": 1.71808, "grad_norm": 13.35049819946289, "learning_rate": 3.129369075924813e-05, "loss": 4.2466, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1343 }, { "epoch": 1.71936, "grad_norm": 13.99071216583252, "learning_rate": 3.127971700771949e-05, "loss": 3.9462, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1344 }, { "epoch": 1.72064, "grad_norm": 14.194561004638672, "learning_rate": 3.126573517673731e-05, "loss": 4.2885, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1345 }, { "epoch": 1.72192, "grad_norm": 13.877323150634766, "learning_rate": 3.125174527631651e-05, "loss": 4.148, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1346 }, { "epoch": 1.7231999999999998, "grad_norm": 14.18002986907959, "learning_rate": 3.123774731647779e-05, "loss": 4.2614, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1347 }, { "epoch": 1.72448, "grad_norm": 13.707263946533203, "learning_rate": 3.122374130724765e-05, "loss": 3.9936, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1348 }, { "epoch": 1.72576, "grad_norm": 15.295638084411621, "learning_rate": 3.120972725865832e-05, "loss": 3.9759, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1349 }, { "epoch": 1.7270400000000001, "grad_norm": 14.297507286071777, "learning_rate": 3.119570518074782e-05, "loss": 3.9354, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1350 }, { "epoch": 1.72832, "grad_norm": 14.1062593460083, "learning_rate": 3.1181675083559887e-05, "loss": 3.8289, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1351 }, { "epoch": 1.7296, "grad_norm": 13.922483444213867, "learning_rate": 3.116763697714403e-05, "loss": 4.3076, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1352 }, { "epoch": 1.73088, "grad_norm": 13.502059936523438, "learning_rate": 3.1153590871555505e-05, "loss": 4.1543, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1353 }, { "epoch": 1.73216, "grad_norm": 14.604390144348145, "learning_rate": 3.1139536776855245e-05, "loss": 4.3112, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1354 }, { "epoch": 1.7334399999999999, "grad_norm": 14.09150218963623, "learning_rate": 3.112547470310996e-05, "loss": 4.1092, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1355 }, { "epoch": 1.73472, "grad_norm": 13.71757698059082, "learning_rate": 3.111140466039205e-05, "loss": 4.086, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1356 }, { "epoch": 1.736, "grad_norm": 13.841508865356445, "learning_rate": 3.109732665877962e-05, "loss": 4.2627, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1357 }, { "epoch": 1.7372800000000002, "grad_norm": 14.376925468444824, "learning_rate": 3.10832407083565e-05, "loss": 4.0108, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1358 }, { "epoch": 1.73856, "grad_norm": 13.624960899353027, "learning_rate": 3.106914681921218e-05, "loss": 3.7616, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1359 }, { "epoch": 1.73984, "grad_norm": 13.768253326416016, "learning_rate": 3.105504500144187e-05, "loss": 4.3106, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1360 }, { "epoch": 1.74112, "grad_norm": 14.1766357421875, "learning_rate": 3.104093526514643e-05, "loss": 4.0132, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1361 }, { "epoch": 1.7424, "grad_norm": 14.21277141571045, "learning_rate": 3.102681762043241e-05, "loss": 4.0137, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1362 }, { "epoch": 1.74368, "grad_norm": 13.65963363647461, "learning_rate": 3.101269207741201e-05, "loss": 3.834, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1363 }, { "epoch": 1.7449599999999998, "grad_norm": 14.704839706420898, "learning_rate": 3.0998558646203106e-05, "loss": 4.2416, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1364 }, { "epoch": 1.74624, "grad_norm": 13.394458770751953, "learning_rate": 3.09844173369292e-05, "loss": 4.0648, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1365 }, { "epoch": 1.74752, "grad_norm": 14.183292388916016, "learning_rate": 3.0970268159719477e-05, "loss": 3.8564, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1366 }, { "epoch": 1.7488000000000001, "grad_norm": 14.475934028625488, "learning_rate": 3.095611112470871e-05, "loss": 4.0572, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1367 }, { "epoch": 1.75008, "grad_norm": 13.549369812011719, "learning_rate": 3.094194624203733e-05, "loss": 4.2989, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1368 }, { "epoch": 1.75136, "grad_norm": 13.811051368713379, "learning_rate": 3.092777352185138e-05, "loss": 3.587, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1369 }, { "epoch": 1.75264, "grad_norm": 13.759672164916992, "learning_rate": 3.091359297430253e-05, "loss": 3.7336, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1370 }, { "epoch": 1.75392, "grad_norm": 14.200986862182617, "learning_rate": 3.0899404609548025e-05, "loss": 3.912, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1371 }, { "epoch": 1.7551999999999999, "grad_norm": 15.008868217468262, "learning_rate": 3.088520843775074e-05, "loss": 4.3293, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1372 }, { "epoch": 1.75648, "grad_norm": 14.735391616821289, "learning_rate": 3.087100446907913e-05, "loss": 4.0289, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1373 }, { "epoch": 1.75776, "grad_norm": 13.635407447814941, "learning_rate": 3.085679271370724e-05, "loss": 4.2249, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1374 }, { "epoch": 1.7590400000000002, "grad_norm": 14.101133346557617, "learning_rate": 3.084257318181468e-05, "loss": 4.025, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1375 }, { "epoch": 1.76032, "grad_norm": 14.51546573638916, "learning_rate": 3.0828345883586655e-05, "loss": 4.1751, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1376 }, { "epoch": 1.7616, "grad_norm": 13.959142684936523, "learning_rate": 3.081411082921389e-05, "loss": 4.2674, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1377 }, { "epoch": 1.76288, "grad_norm": 14.177382469177246, "learning_rate": 3.079986802889272e-05, "loss": 4.3152, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1378 }, { "epoch": 1.76416, "grad_norm": 15.945145606994629, "learning_rate": 3.0785617492824984e-05, "loss": 4.3518, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1379 }, { "epoch": 1.76544, "grad_norm": 15.410923957824707, "learning_rate": 3.077135923121809e-05, "loss": 4.2311, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1380 }, { "epoch": 1.7667199999999998, "grad_norm": 15.275491714477539, "learning_rate": 3.075709325428496e-05, "loss": 4.1344, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1381 }, { "epoch": 1.768, "grad_norm": 14.914276123046875, "learning_rate": 3.0742819572244046e-05, "loss": 4.2006, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1382 }, { "epoch": 1.76928, "grad_norm": 14.950092315673828, "learning_rate": 3.072853819531933e-05, "loss": 4.2553, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1383 }, { "epoch": 1.7705600000000001, "grad_norm": 15.07062816619873, "learning_rate": 3.07142491337403e-05, "loss": 4.0091, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1384 }, { "epoch": 1.77184, "grad_norm": 14.002492904663086, "learning_rate": 3.069995239774195e-05, "loss": 4.057, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1385 }, { "epoch": 1.77312, "grad_norm": 14.051078796386719, "learning_rate": 3.068564799756476e-05, "loss": 3.915, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1386 }, { "epoch": 1.7744, "grad_norm": 15.182942390441895, "learning_rate": 3.0671335943454714e-05, "loss": 4.0009, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1387 }, { "epoch": 1.77568, "grad_norm": 13.600608825683594, "learning_rate": 3.065701624566327e-05, "loss": 4.264, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1388 }, { "epoch": 1.7769599999999999, "grad_norm": 14.650879859924316, "learning_rate": 3.064268891444737e-05, "loss": 4.1173, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1389 }, { "epoch": 1.77824, "grad_norm": 15.339058876037598, "learning_rate": 3.062835396006942e-05, "loss": 3.8044, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1390 }, { "epoch": 1.77952, "grad_norm": 25.246318817138672, "learning_rate": 3.0614011392797264e-05, "loss": 4.1314, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1391 }, { "epoch": 1.7808000000000002, "grad_norm": 15.838129997253418, "learning_rate": 3.0599661222904246e-05, "loss": 3.9712, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1392 }, { "epoch": 1.78208, "grad_norm": 18.101350784301758, "learning_rate": 3.058530346066911e-05, "loss": 3.7432, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1393 }, { "epoch": 1.78336, "grad_norm": 15.939665794372559, "learning_rate": 3.057093811637605e-05, "loss": 4.0481, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1394 }, { "epoch": 1.78464, "grad_norm": 24.134363174438477, "learning_rate": 3.0556565200314716e-05, "loss": 4.0572, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1395 }, { "epoch": 1.78592, "grad_norm": 14.52580451965332, "learning_rate": 3.0542184722780156e-05, "loss": 3.9028, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1396 }, { "epoch": 1.7872, "grad_norm": 15.226325035095215, "learning_rate": 3.052779669407284e-05, "loss": 4.0341, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1397 }, { "epoch": 1.7884799999999998, "grad_norm": 14.619346618652344, "learning_rate": 3.0513401124498655e-05, "loss": 4.1478, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1398 }, { "epoch": 1.78976, "grad_norm": 14.564188957214355, "learning_rate": 3.049899802436887e-05, "loss": 3.9301, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1399 }, { "epoch": 1.79104, "grad_norm": 13.963435173034668, "learning_rate": 3.048458740400017e-05, "loss": 4.1201, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1400 }, { "epoch": 1.7923200000000001, "grad_norm": 13.967945098876953, "learning_rate": 3.0470169273714608e-05, "loss": 4.2597, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1401 }, { "epoch": 1.7936, "grad_norm": 16.213687896728516, "learning_rate": 3.0455743643839638e-05, "loss": 3.9744, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1402 }, { "epoch": 1.79488, "grad_norm": 14.240364074707031, "learning_rate": 3.0441310524708058e-05, "loss": 4.2207, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1403 }, { "epoch": 1.79616, "grad_norm": 15.166796684265137, "learning_rate": 3.042686992665806e-05, "loss": 4.0964, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1404 }, { "epoch": 1.79744, "grad_norm": 15.688075065612793, "learning_rate": 3.0412421860033166e-05, "loss": 4.0823, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1405 }, { "epoch": 1.7987199999999999, "grad_norm": 13.898782730102539, "learning_rate": 3.0397966335182274e-05, "loss": 4.2312, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1406 }, { "epoch": 1.8, "grad_norm": 14.981454849243164, "learning_rate": 3.0383503362459597e-05, "loss": 4.0195, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1407 }, { "epoch": 1.80128, "grad_norm": 14.048760414123535, "learning_rate": 3.0369032952224696e-05, "loss": 4.2647, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1408 }, { "epoch": 1.8025600000000002, "grad_norm": 14.75219440460205, "learning_rate": 3.035455511484247e-05, "loss": 4.1855, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1409 }, { "epoch": 1.80384, "grad_norm": 13.389479637145996, "learning_rate": 3.034006986068312e-05, "loss": 3.9685, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1410 }, { "epoch": 1.80512, "grad_norm": 13.657927513122559, "learning_rate": 3.032557720012217e-05, "loss": 3.8353, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1411 }, { "epoch": 1.8064, "grad_norm": 14.493046760559082, "learning_rate": 3.031107714354044e-05, "loss": 4.1852, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1412 }, { "epoch": 1.80768, "grad_norm": 14.43277645111084, "learning_rate": 3.029656970132406e-05, "loss": 4.1296, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1413 }, { "epoch": 1.80896, "grad_norm": 13.70425033569336, "learning_rate": 3.0282054883864434e-05, "loss": 4.1783, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1414 }, { "epoch": 1.8102399999999998, "grad_norm": 14.211944580078125, "learning_rate": 3.0267532701558276e-05, "loss": 4.0265, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1415 }, { "epoch": 1.81152, "grad_norm": 15.516536712646484, "learning_rate": 3.0253003164807544e-05, "loss": 4.3085, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1416 }, { "epoch": 1.8128, "grad_norm": 13.998688697814941, "learning_rate": 3.0238466284019477e-05, "loss": 4.1619, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1417 }, { "epoch": 1.8140800000000001, "grad_norm": 14.239285469055176, "learning_rate": 3.0223922069606583e-05, "loss": 4.2738, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1418 }, { "epoch": 1.81536, "grad_norm": 14.18407154083252, "learning_rate": 3.0209370531986612e-05, "loss": 4.2601, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1419 }, { "epoch": 1.81664, "grad_norm": 13.388814926147461, "learning_rate": 3.0194811681582555e-05, "loss": 3.7122, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1420 }, { "epoch": 1.81792, "grad_norm": 14.357173919677734, "learning_rate": 3.018024552882266e-05, "loss": 4.3579, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1421 }, { "epoch": 1.8192, "grad_norm": 13.831907272338867, "learning_rate": 3.0165672084140392e-05, "loss": 4.0292, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1422 }, { "epoch": 1.8204799999999999, "grad_norm": 15.244295120239258, "learning_rate": 3.015109135797443e-05, "loss": 4.0295, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1423 }, { "epoch": 1.82176, "grad_norm": 14.331576347351074, "learning_rate": 3.013650336076869e-05, "loss": 4.0382, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1424 }, { "epoch": 1.82304, "grad_norm": 14.567152976989746, "learning_rate": 3.0121908102972283e-05, "loss": 4.0717, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1425 }, { "epoch": 1.8243200000000002, "grad_norm": 14.787635803222656, "learning_rate": 3.0107305595039523e-05, "loss": 4.1942, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1426 }, { "epoch": 1.8256000000000001, "grad_norm": 14.326789855957031, "learning_rate": 3.0092695847429915e-05, "loss": 4.2111, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1427 }, { "epoch": 1.82688, "grad_norm": 17.390241622924805, "learning_rate": 3.0078078870608157e-05, "loss": 4.1297, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1428 }, { "epoch": 1.82816, "grad_norm": 13.616333961486816, "learning_rate": 3.006345467504412e-05, "loss": 4.0234, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1429 }, { "epoch": 1.82944, "grad_norm": 14.760306358337402, "learning_rate": 3.0048823271212844e-05, "loss": 4.3935, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1430 }, { "epoch": 1.83072, "grad_norm": 14.493471145629883, "learning_rate": 3.0034184669594525e-05, "loss": 4.0043, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1431 }, { "epoch": 1.8319999999999999, "grad_norm": 15.025617599487305, "learning_rate": 3.0019538880674548e-05, "loss": 4.2692, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1432 }, { "epoch": 1.83328, "grad_norm": 15.850666999816895, "learning_rate": 3.0004885914943397e-05, "loss": 4.2049, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1433 }, { "epoch": 1.83456, "grad_norm": 15.110357284545898, "learning_rate": 2.9990225782896732e-05, "loss": 3.9747, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1434 }, { "epoch": 1.8358400000000001, "grad_norm": 12.83768081665039, "learning_rate": 2.9975558495035338e-05, "loss": 4.1163, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1435 }, { "epoch": 1.83712, "grad_norm": 14.278149604797363, "learning_rate": 2.9960884061865117e-05, "loss": 4.3114, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1436 }, { "epoch": 1.8384, "grad_norm": 14.033442497253418, "learning_rate": 2.99462024938971e-05, "loss": 4.1078, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1437 }, { "epoch": 1.83968, "grad_norm": 15.217942237854004, "learning_rate": 2.993151380164742e-05, "loss": 4.3641, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1438 }, { "epoch": 1.84096, "grad_norm": 14.658533096313477, "learning_rate": 2.9916817995637327e-05, "loss": 4.1437, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1439 }, { "epoch": 1.8422399999999999, "grad_norm": 13.928194046020508, "learning_rate": 2.9902115086393136e-05, "loss": 4.2244, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1440 }, { "epoch": 1.84352, "grad_norm": 15.141136169433594, "learning_rate": 2.988740508444629e-05, "loss": 4.1302, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1441 }, { "epoch": 1.8448, "grad_norm": 17.020751953125, "learning_rate": 2.9872688000333277e-05, "loss": 4.0663, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1442 }, { "epoch": 1.8460800000000002, "grad_norm": 14.368315696716309, "learning_rate": 2.9857963844595684e-05, "loss": 4.0103, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1443 }, { "epoch": 1.8473600000000001, "grad_norm": 15.595625877380371, "learning_rate": 2.9843232627780146e-05, "loss": 4.2955, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1444 }, { "epoch": 1.84864, "grad_norm": 19.584056854248047, "learning_rate": 2.982849436043837e-05, "loss": 4.0136, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1445 }, { "epoch": 1.84992, "grad_norm": 14.58468246459961, "learning_rate": 2.9813749053127105e-05, "loss": 4.259, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1446 }, { "epoch": 1.8512, "grad_norm": 18.178203582763672, "learning_rate": 2.979899671640813e-05, "loss": 4.2039, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1447 }, { "epoch": 1.85248, "grad_norm": 14.974711418151855, "learning_rate": 2.978423736084829e-05, "loss": 4.283, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1448 }, { "epoch": 1.8537599999999999, "grad_norm": 15.678047180175781, "learning_rate": 2.9769470997019424e-05, "loss": 4.0158, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1449 }, { "epoch": 1.85504, "grad_norm": 15.361527442932129, "learning_rate": 2.975469763549842e-05, "loss": 4.038, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1450 }, { "epoch": 1.85632, "grad_norm": 19.613811492919922, "learning_rate": 2.973991728686715e-05, "loss": 4.301, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1451 }, { "epoch": 1.8576000000000001, "grad_norm": 14.68200397491455, "learning_rate": 2.972512996171252e-05, "loss": 4.3982, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1452 }, { "epoch": 1.85888, "grad_norm": 14.91187572479248, "learning_rate": 2.9710335670626405e-05, "loss": 4.0852, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1453 }, { "epoch": 1.86016, "grad_norm": 15.051180839538574, "learning_rate": 2.9695534424205698e-05, "loss": 3.9476, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1454 }, { "epoch": 1.86144, "grad_norm": 14.308636665344238, "learning_rate": 2.9680726233052245e-05, "loss": 3.8744, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1455 }, { "epoch": 1.86272, "grad_norm": 14.32395076751709, "learning_rate": 2.966591110777289e-05, "loss": 4.1058, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1456 }, { "epoch": 1.8639999999999999, "grad_norm": 15.832695960998535, "learning_rate": 2.9651089058979434e-05, "loss": 4.0151, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1457 }, { "epoch": 1.86528, "grad_norm": 15.02347469329834, "learning_rate": 2.9636260097288632e-05, "loss": 4.2773, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1458 }, { "epoch": 1.86656, "grad_norm": 13.84731674194336, "learning_rate": 2.9621424233322198e-05, "loss": 4.0048, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1459 }, { "epoch": 1.86784, "grad_norm": 13.980466842651367, "learning_rate": 2.960658147770679e-05, "loss": 4.0886, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1460 }, { "epoch": 1.8691200000000001, "grad_norm": 14.368780136108398, "learning_rate": 2.9591731841074004e-05, "loss": 4.0439, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1461 }, { "epoch": 1.8704, "grad_norm": 14.288613319396973, "learning_rate": 2.957687533406035e-05, "loss": 4.2432, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1462 }, { "epoch": 1.87168, "grad_norm": 37.0713005065918, "learning_rate": 2.9562011967307285e-05, "loss": 4.1585, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1463 }, { "epoch": 1.87296, "grad_norm": 21.001733779907227, "learning_rate": 2.954714175146115e-05, "loss": 4.0613, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1464 }, { "epoch": 1.87424, "grad_norm": 13.906391143798828, "learning_rate": 2.9532264697173222e-05, "loss": 4.144, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1465 }, { "epoch": 1.8755199999999999, "grad_norm": 13.401786804199219, "learning_rate": 2.951738081509964e-05, "loss": 4.1213, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1466 }, { "epoch": 1.8768, "grad_norm": 14.829394340515137, "learning_rate": 2.950249011590148e-05, "loss": 4.2448, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1467 }, { "epoch": 1.87808, "grad_norm": 13.848640441894531, "learning_rate": 2.9487592610244663e-05, "loss": 4.6447, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1468 }, { "epoch": 1.8793600000000001, "grad_norm": 14.105782508850098, "learning_rate": 2.947268830879999e-05, "loss": 3.8845, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1469 }, { "epoch": 1.88064, "grad_norm": 14.753235816955566, "learning_rate": 2.9457777222243148e-05, "loss": 4.0729, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1470 }, { "epoch": 1.88192, "grad_norm": 14.173680305480957, "learning_rate": 2.944285936125468e-05, "loss": 3.8996, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1471 }, { "epoch": 1.8832, "grad_norm": 14.595109939575195, "learning_rate": 2.9427934736519962e-05, "loss": 3.9392, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1472 }, { "epoch": 1.88448, "grad_norm": 15.200581550598145, "learning_rate": 2.9413003358729223e-05, "loss": 3.9313, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1473 }, { "epoch": 1.8857599999999999, "grad_norm": 14.087865829467773, "learning_rate": 2.939806523857755e-05, "loss": 4.4037, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1474 }, { "epoch": 1.88704, "grad_norm": 13.344728469848633, "learning_rate": 2.9383120386764833e-05, "loss": 4.1247, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1475 }, { "epoch": 1.88832, "grad_norm": 13.808815002441406, "learning_rate": 2.9368168813995806e-05, "loss": 3.9844, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1476 }, { "epoch": 1.8896, "grad_norm": 14.036137580871582, "learning_rate": 2.935321053097999e-05, "loss": 3.8859, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1477 }, { "epoch": 1.8908800000000001, "grad_norm": 14.313337326049805, "learning_rate": 2.933824554843174e-05, "loss": 4.4431, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1478 }, { "epoch": 1.89216, "grad_norm": 19.55797576904297, "learning_rate": 2.9323273877070186e-05, "loss": 3.8998, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1479 }, { "epoch": 1.89344, "grad_norm": 14.449673652648926, "learning_rate": 2.9308295527619274e-05, "loss": 4.2204, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1480 }, { "epoch": 1.89472, "grad_norm": 14.414312362670898, "learning_rate": 2.9293310510807698e-05, "loss": 4.1621, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1481 }, { "epoch": 1.896, "grad_norm": 13.354223251342773, "learning_rate": 2.9278318837368975e-05, "loss": 4.1354, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1482 }, { "epoch": 1.8972799999999999, "grad_norm": 15.112861633300781, "learning_rate": 2.926332051804135e-05, "loss": 4.397, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1483 }, { "epoch": 1.89856, "grad_norm": 15.096014976501465, "learning_rate": 2.924831556356785e-05, "loss": 4.2449, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1484 }, { "epoch": 1.89984, "grad_norm": 15.152399063110352, "learning_rate": 2.9233303984696243e-05, "loss": 4.3295, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1485 }, { "epoch": 1.9011200000000001, "grad_norm": 14.393294334411621, "learning_rate": 2.9218285792179036e-05, "loss": 3.8728, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1486 }, { "epoch": 1.9024, "grad_norm": 13.999970436096191, "learning_rate": 2.9203260996773508e-05, "loss": 4.0983, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1487 }, { "epoch": 1.90368, "grad_norm": 15.411677360534668, "learning_rate": 2.9188229609241626e-05, "loss": 3.9667, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1488 }, { "epoch": 1.90496, "grad_norm": 13.807767868041992, "learning_rate": 2.9173191640350104e-05, "loss": 4.0539, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1489 }, { "epoch": 1.90624, "grad_norm": 13.431382179260254, "learning_rate": 2.9158147100870348e-05, "loss": 3.9434, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1490 }, { "epoch": 1.9075199999999999, "grad_norm": 13.795750617980957, "learning_rate": 2.9143096001578505e-05, "loss": 4.0268, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1491 }, { "epoch": 1.9088, "grad_norm": 14.874486923217773, "learning_rate": 2.9128038353255382e-05, "loss": 4.3195, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1492 }, { "epoch": 1.91008, "grad_norm": 13.967156410217285, "learning_rate": 2.9112974166686512e-05, "loss": 4.0317, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1493 }, { "epoch": 1.91136, "grad_norm": 14.057290077209473, "learning_rate": 2.9097903452662074e-05, "loss": 4.3202, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1494 }, { "epoch": 1.9126400000000001, "grad_norm": 15.816125869750977, "learning_rate": 2.9082826221976964e-05, "loss": 4.1829, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1495 }, { "epoch": 1.91392, "grad_norm": 14.173638343811035, "learning_rate": 2.906774248543071e-05, "loss": 3.9701, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1496 }, { "epoch": 1.9152, "grad_norm": 14.03815746307373, "learning_rate": 2.9052652253827527e-05, "loss": 4.1234, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1497 }, { "epoch": 1.91648, "grad_norm": 14.263280868530273, "learning_rate": 2.9037555537976258e-05, "loss": 3.8116, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1498 }, { "epoch": 1.91776, "grad_norm": 14.56998062133789, "learning_rate": 2.9022452348690407e-05, "loss": 4.2398, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1499 }, { "epoch": 1.9190399999999999, "grad_norm": 14.57787036895752, "learning_rate": 2.9007342696788114e-05, "loss": 4.2914, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1500 }, { "epoch": 1.92032, "grad_norm": 14.408597946166992, "learning_rate": 2.8992226593092135e-05, "loss": 4.1303, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1501 }, { "epoch": 1.9216, "grad_norm": 13.978986740112305, "learning_rate": 2.897710404842987e-05, "loss": 4.2125, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1502 }, { "epoch": 1.9228800000000001, "grad_norm": 14.335888862609863, "learning_rate": 2.8961975073633302e-05, "loss": 4.0744, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1503 }, { "epoch": 1.92416, "grad_norm": 14.484443664550781, "learning_rate": 2.8946839679539055e-05, "loss": 4.1176, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1504 }, { "epoch": 1.92544, "grad_norm": 14.699332237243652, "learning_rate": 2.893169787698832e-05, "loss": 4.3391, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1505 }, { "epoch": 1.92672, "grad_norm": 15.844393730163574, "learning_rate": 2.8916549676826905e-05, "loss": 4.052, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1506 }, { "epoch": 1.928, "grad_norm": 14.474212646484375, "learning_rate": 2.8901395089905165e-05, "loss": 3.9692, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1507 }, { "epoch": 1.9292799999999999, "grad_norm": 18.290767669677734, "learning_rate": 2.8886234127078077e-05, "loss": 3.9947, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1508 }, { "epoch": 1.93056, "grad_norm": 15.166973114013672, "learning_rate": 2.8871066799205136e-05, "loss": 4.1562, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1509 }, { "epoch": 1.93184, "grad_norm": 14.048384666442871, "learning_rate": 2.8855893117150437e-05, "loss": 4.2177, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1510 }, { "epoch": 1.93312, "grad_norm": 15.025786399841309, "learning_rate": 2.8840713091782605e-05, "loss": 3.8353, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1511 }, { "epoch": 1.9344000000000001, "grad_norm": 13.73882007598877, "learning_rate": 2.8825526733974806e-05, "loss": 3.6328, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1512 }, { "epoch": 1.93568, "grad_norm": 15.783872604370117, "learning_rate": 2.8810334054604752e-05, "loss": 4.2257, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1513 }, { "epoch": 1.93696, "grad_norm": 16.925827026367188, "learning_rate": 2.8795135064554682e-05, "loss": 4.2202, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1514 }, { "epoch": 1.93824, "grad_norm": 13.904376983642578, "learning_rate": 2.8779929774711348e-05, "loss": 4.2108, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1515 }, { "epoch": 1.93952, "grad_norm": 16.414886474609375, "learning_rate": 2.8764718195966028e-05, "loss": 3.9068, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1516 }, { "epoch": 1.9407999999999999, "grad_norm": 13.988545417785645, "learning_rate": 2.8749500339214483e-05, "loss": 4.064, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1517 }, { "epoch": 1.94208, "grad_norm": 13.989622116088867, "learning_rate": 2.873427621535699e-05, "loss": 4.1448, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1518 }, { "epoch": 1.94336, "grad_norm": 14.338465690612793, "learning_rate": 2.8719045835298312e-05, "loss": 3.9053, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1519 }, { "epoch": 1.9446400000000001, "grad_norm": 14.846992492675781, "learning_rate": 2.8703809209947683e-05, "loss": 4.0669, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1520 }, { "epoch": 1.94592, "grad_norm": 13.817178726196289, "learning_rate": 2.8688566350218825e-05, "loss": 4.2718, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1521 }, { "epoch": 1.9472, "grad_norm": 13.973956108093262, "learning_rate": 2.8673317267029907e-05, "loss": 4.3195, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1522 }, { "epoch": 1.94848, "grad_norm": 14.430554389953613, "learning_rate": 2.8658061971303576e-05, "loss": 4.1581, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1523 }, { "epoch": 1.94976, "grad_norm": 13.977424621582031, "learning_rate": 2.8642800473966918e-05, "loss": 3.852, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1524 }, { "epoch": 1.9510399999999999, "grad_norm": 15.228880882263184, "learning_rate": 2.862753278595145e-05, "loss": 4.362, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1525 }, { "epoch": 1.95232, "grad_norm": 14.161410331726074, "learning_rate": 2.861225891819316e-05, "loss": 4.0078, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1526 }, { "epoch": 1.9536, "grad_norm": 13.665413856506348, "learning_rate": 2.8596978881632414e-05, "loss": 4.0873, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1527 }, { "epoch": 1.95488, "grad_norm": 13.521306037902832, "learning_rate": 2.8581692687214038e-05, "loss": 3.8572, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1528 }, { "epoch": 1.9561600000000001, "grad_norm": 14.848747253417969, "learning_rate": 2.8566400345887237e-05, "loss": 3.981, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1529 }, { "epoch": 1.95744, "grad_norm": 13.996282577514648, "learning_rate": 2.8551101868605644e-05, "loss": 4.0435, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1530 }, { "epoch": 1.95872, "grad_norm": 13.936887741088867, "learning_rate": 2.8535797266327275e-05, "loss": 4.23, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1531 }, { "epoch": 1.96, "grad_norm": 13.955307960510254, "learning_rate": 2.8520486550014533e-05, "loss": 4.1461, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1532 }, { "epoch": 1.96128, "grad_norm": 13.536442756652832, "learning_rate": 2.8505169730634196e-05, "loss": 3.7537, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1533 }, { "epoch": 1.9625599999999999, "grad_norm": 13.411678314208984, "learning_rate": 2.8489846819157434e-05, "loss": 4.1553, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1534 }, { "epoch": 1.96384, "grad_norm": 15.053085327148438, "learning_rate": 2.8474517826559757e-05, "loss": 4.303, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1535 }, { "epoch": 1.96512, "grad_norm": 13.518204689025879, "learning_rate": 2.845918276382104e-05, "loss": 4.0846, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1536 }, { "epoch": 1.9664000000000001, "grad_norm": 15.522762298583984, "learning_rate": 2.8443841641925504e-05, "loss": 3.9856, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1537 }, { "epoch": 1.96768, "grad_norm": 14.789840698242188, "learning_rate": 2.842849447186172e-05, "loss": 4.3018, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1538 }, { "epoch": 1.96896, "grad_norm": 14.869368553161621, "learning_rate": 2.841314126462258e-05, "loss": 4.2447, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1539 }, { "epoch": 1.97024, "grad_norm": 14.33301067352295, "learning_rate": 2.8397782031205295e-05, "loss": 3.9449, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1540 }, { "epoch": 1.97152, "grad_norm": 14.55190658569336, "learning_rate": 2.8382416782611414e-05, "loss": 4.1472, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1541 }, { "epoch": 1.9727999999999999, "grad_norm": 14.370369911193848, "learning_rate": 2.836704552984677e-05, "loss": 4.1511, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1542 }, { "epoch": 1.9740799999999998, "grad_norm": 16.2254695892334, "learning_rate": 2.8351668283921518e-05, "loss": 4.0361, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1543 }, { "epoch": 1.97536, "grad_norm": 12.799896240234375, "learning_rate": 2.8336285055850087e-05, "loss": 3.8008, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1544 }, { "epoch": 1.97664, "grad_norm": 14.193465232849121, "learning_rate": 2.8320895856651218e-05, "loss": 4.0041, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1545 }, { "epoch": 1.9779200000000001, "grad_norm": 20.751611709594727, "learning_rate": 2.8305500697347886e-05, "loss": 4.1735, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1546 }, { "epoch": 1.9792, "grad_norm": 15.592724800109863, "learning_rate": 2.8290099588967374e-05, "loss": 4.2572, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1547 }, { "epoch": 1.98048, "grad_norm": 13.720009803771973, "learning_rate": 2.8274692542541208e-05, "loss": 3.9432, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1548 }, { "epoch": 1.98176, "grad_norm": 13.25790786743164, "learning_rate": 2.8259279569105183e-05, "loss": 3.9115, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1549 }, { "epoch": 1.98304, "grad_norm": 12.832863807678223, "learning_rate": 2.8243860679699315e-05, "loss": 3.912, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1550 }, { "epoch": 1.9843199999999999, "grad_norm": 13.84761905670166, "learning_rate": 2.8228435885367868e-05, "loss": 3.9963, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1551 }, { "epoch": 1.9856, "grad_norm": 14.46717643737793, "learning_rate": 2.821300519715935e-05, "loss": 4.0116, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1552 }, { "epoch": 1.98688, "grad_norm": 14.267247200012207, "learning_rate": 2.819756862612647e-05, "loss": 4.0933, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1553 }, { "epoch": 1.9881600000000001, "grad_norm": 13.751236915588379, "learning_rate": 2.8182126183326163e-05, "loss": 4.3121, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1554 }, { "epoch": 1.98944, "grad_norm": 13.955025672912598, "learning_rate": 2.816667787981957e-05, "loss": 3.9102, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1555 }, { "epoch": 1.99072, "grad_norm": 13.452781677246094, "learning_rate": 2.8151223726672024e-05, "loss": 3.9128, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1556 }, { "epoch": 1.992, "grad_norm": 14.912033081054688, "learning_rate": 2.8135763734953044e-05, "loss": 3.8946, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1557 }, { "epoch": 1.99328, "grad_norm": 14.430395126342773, "learning_rate": 2.8120297915736343e-05, "loss": 3.792, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1558 }, { "epoch": 1.9945599999999999, "grad_norm": 14.301152229309082, "learning_rate": 2.8104826280099796e-05, "loss": 3.644, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1559 }, { "epoch": 1.9958399999999998, "grad_norm": 14.83263874053955, "learning_rate": 2.8089348839125468e-05, "loss": 4.1097, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1560 }, { "epoch": 1.99712, "grad_norm": 13.603412628173828, "learning_rate": 2.8073865603899543e-05, "loss": 3.6825, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1561 }, { "epoch": 1.9984, "grad_norm": 13.814615249633789, "learning_rate": 2.805837658551239e-05, "loss": 4.1176, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1562 }, { "epoch": 1.9996800000000001, "grad_norm": 14.87747573852539, "learning_rate": 2.804288179505851e-05, "loss": 4.1176, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1563 }, { "epoch": 2.0, "grad_norm": 7.311878681182861, "learning_rate": 2.8027381243636525e-05, "loss": 1.0459, "memory/device_mem_reserved(gib)": 66.04, "memory/max_mem_active(gib)": 56.12, "memory/max_mem_allocated(gib)": 56.12, "step": 1564 } ], "logging_steps": 1, "max_steps": 3907, "num_input_tokens_seen": 0, "num_train_epochs": 5, "save_steps": 782, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 1.3812316627309429e+19, "train_batch_size": 1, "trial_name": null, "trial_params": null }