diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,7233 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.6, + "eval_steps": 2000, + "global_step": 6000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.001, + "grad_norm": 4736.0, + "learning_rate": 1.9e-05, + "loss": 132.1055, + "loss/crossentropy": 12.246079635620116, + "loss/hidden": 18.7125, + "loss/jsd": 0.0, + "loss/logits": 10.372939014434815, + "step": 10 + }, + { + "epoch": 0.002, + "grad_norm": 330.0, + "grad_norm_var": 91640269.18333334, + "learning_rate": 2.8000000000000003e-05, + "loss": 95.9731, + "loss/crossentropy": 8.862393474578857, + "loss/hidden": 18.675, + "loss/jsd": 0.0, + "loss/logits": 6.677179157733917, + "step": 20 + }, + { + "epoch": 0.003, + "grad_norm": 394.0, + "grad_norm_var": 237715.45, + "learning_rate": 3.7e-05, + "loss": 86.3778, + "loss/crossentropy": 8.083840227127075, + "loss/hidden": 18.259375, + "loss/jsd": 0.0, + "loss/logits": 6.130921971797943, + "step": 30 + }, + { + "epoch": 0.004, + "grad_norm": 924.0, + "grad_norm_var": 2.6757682503402172e+16, + "learning_rate": 4.600000000000001e-05, + "loss": 82.5914, + "loss/crossentropy": 7.802511918544769, + "loss/hidden": 17.440625, + "loss/jsd": 0.0, + "loss/logits": 5.772503018379211, + "step": 40 + }, + { + "epoch": 0.005, + "grad_norm": 516.0, + "grad_norm_var": 38597.583333333336, + "learning_rate": 5.500000000000001e-05, + "loss": 75.3397, + "loss/crossentropy": 7.156700026988983, + "loss/hidden": 17.253125, + "loss/jsd": 0.0, + "loss/logits": 5.156575608253479, + "step": 50 + }, + { + "epoch": 0.006, + "grad_norm": 1232.0, + "grad_norm_var": 68241.45, + "learning_rate": 6.400000000000001e-05, + "loss": 61.2745, + "loss/crossentropy": 6.0138510942459105, + "loss/hidden": 15.80625, + "loss/jsd": 0.0, + "loss/logits": 3.8037488579750063, + "step": 60 + }, + { + "epoch": 0.007, + "grad_norm": 376.0, + "grad_norm_var": 626103.4, + "learning_rate": 7.3e-05, + "loss": 41.3695, + "loss/crossentropy": 4.422797441482544, + "loss/hidden": 13.1125, + "loss/jsd": 0.0, + "loss/logits": 2.4006322652101515, + "step": 70 + }, + { + "epoch": 0.008, + "grad_norm": 272.0, + "grad_norm_var": 674923.45, + "learning_rate": 8.200000000000001e-05, + "loss": 27.4755, + "loss/crossentropy": 3.3576226443052293, + "loss/hidden": 10.7359375, + "loss/jsd": 0.0, + "loss/logits": 1.3968962401151657, + "step": 80 + }, + { + "epoch": 0.009, + "grad_norm": 296.0, + "grad_norm_var": 15426.383333333333, + "learning_rate": 9.1e-05, + "loss": 22.6607, + "loss/crossentropy": 3.217679074406624, + "loss/hidden": 9.2140625, + "loss/jsd": 0.0, + "loss/logits": 1.055714099109173, + "step": 90 + }, + { + "epoch": 0.01, + "grad_norm": 328.0, + "grad_norm_var": 9349.666666666666, + "learning_rate": 0.0001, + "loss": 20.3108, + "loss/crossentropy": 2.934060016274452, + "loss/hidden": 8.40703125, + "loss/jsd": 0.0, + "loss/logits": 0.8702833190560341, + "step": 100 + }, + { + "epoch": 0.011, + "grad_norm": 194.0, + "grad_norm_var": 5992.866666666667, + "learning_rate": 0.0001, + "loss": 18.8852, + "loss/crossentropy": 2.8450062334537507, + "loss/hidden": 8.221875, + "loss/jsd": 0.0, + "loss/logits": 0.8380498677492142, + "step": 110 + }, + { + "epoch": 0.012, + "grad_norm": 244.0, + "grad_norm_var": 1176.5333333333333, + "learning_rate": 0.0001, + "loss": 17.97, + "loss/crossentropy": 2.612249107658863, + "loss/hidden": 7.578125, + "loss/jsd": 0.0, + "loss/logits": 0.686215291172266, + "step": 120 + }, + { + "epoch": 0.013, + "grad_norm": 242.0, + "grad_norm_var": 1168.8958333333333, + "learning_rate": 0.0001, + "loss": 17.2904, + "loss/crossentropy": 2.8242316216230394, + "loss/hidden": 7.7390625, + "loss/jsd": 0.0, + "loss/logits": 0.7805894792079926, + "step": 130 + }, + { + "epoch": 0.014, + "grad_norm": 179.0, + "grad_norm_var": 1465.1333333333334, + "learning_rate": 0.0001, + "loss": 16.5581, + "loss/crossentropy": 2.737143725156784, + "loss/hidden": 7.3421875, + "loss/jsd": 0.0, + "loss/logits": 0.6888546235859394, + "step": 140 + }, + { + "epoch": 0.015, + "grad_norm": 175.0, + "grad_norm_var": 1119.8625, + "learning_rate": 0.0001, + "loss": 16.0501, + "loss/crossentropy": 2.7599751561880113, + "loss/hidden": 7.05703125, + "loss/jsd": 0.0, + "loss/logits": 0.6640767879784107, + "step": 150 + }, + { + "epoch": 0.016, + "grad_norm": 186.0, + "grad_norm_var": 1044.5166666666667, + "learning_rate": 0.0001, + "loss": 15.4631, + "loss/crossentropy": 2.6100075274705885, + "loss/hidden": 6.8203125, + "loss/jsd": 0.0, + "loss/logits": 0.5824844464659691, + "step": 160 + }, + { + "epoch": 0.017, + "grad_norm": 179.0, + "grad_norm_var": 1082.8, + "learning_rate": 0.0001, + "loss": 15.2201, + "loss/crossentropy": 2.4276285111904143, + "loss/hidden": 6.8203125, + "loss/jsd": 0.0, + "loss/logits": 0.5915141828358174, + "step": 170 + }, + { + "epoch": 0.018, + "grad_norm": 153.0, + "grad_norm_var": 622.6625, + "learning_rate": 0.0001, + "loss": 14.9606, + "loss/crossentropy": 2.630460512638092, + "loss/hidden": 6.52578125, + "loss/jsd": 0.0, + "loss/logits": 0.5396774187684059, + "step": 180 + }, + { + "epoch": 0.019, + "grad_norm": 176.0, + "grad_norm_var": 1093.2, + "learning_rate": 0.0001, + "loss": 14.6255, + "loss/crossentropy": 2.3158223152160646, + "loss/hidden": 6.50390625, + "loss/jsd": 0.0, + "loss/logits": 0.4905257746577263, + "step": 190 + }, + { + "epoch": 0.02, + "grad_norm": 112.0, + "grad_norm_var": 695.7291666666666, + "learning_rate": 0.0001, + "loss": 14.3647, + "loss/crossentropy": 2.586851382255554, + "loss/hidden": 6.42265625, + "loss/jsd": 0.0, + "loss/logits": 0.5586091712117195, + "step": 200 + }, + { + "epoch": 0.021, + "grad_norm": 118.5, + "grad_norm_var": 574.3072916666666, + "learning_rate": 0.0001, + "loss": 14.0867, + "loss/crossentropy": 2.5010055124759676, + "loss/hidden": 6.34453125, + "loss/jsd": 0.0, + "loss/logits": 0.4965482771396637, + "step": 210 + }, + { + "epoch": 0.022, + "grad_norm": 88.5, + "grad_norm_var": 662.65, + "learning_rate": 0.0001, + "loss": 13.6551, + "loss/crossentropy": 2.573444625735283, + "loss/hidden": 6.33125, + "loss/jsd": 0.0, + "loss/logits": 0.5534068010747433, + "step": 220 + }, + { + "epoch": 0.023, + "grad_norm": 118.0, + "grad_norm_var": 412.1958333333333, + "learning_rate": 0.0001, + "loss": 13.4715, + "loss/crossentropy": 2.4142292886972427, + "loss/hidden": 5.96640625, + "loss/jsd": 0.0, + "loss/logits": 0.44360905699431896, + "step": 230 + }, + { + "epoch": 0.024, + "grad_norm": 134.0, + "grad_norm_var": 242.9, + "learning_rate": 0.0001, + "loss": 13.3289, + "loss/crossentropy": 2.4670142769813537, + "loss/hidden": 5.98671875, + "loss/jsd": 0.0, + "loss/logits": 0.47392544001340864, + "step": 240 + }, + { + "epoch": 0.025, + "grad_norm": 137.0, + "grad_norm_var": 158.4625, + "learning_rate": 0.0001, + "loss": 13.0031, + "loss/crossentropy": 2.416000656783581, + "loss/hidden": 5.7859375, + "loss/jsd": 0.0, + "loss/logits": 0.44607544504106045, + "step": 250 + }, + { + "epoch": 0.026, + "grad_norm": 109.0, + "grad_norm_var": 279.990625, + "learning_rate": 0.0001, + "loss": 13.0076, + "loss/crossentropy": 2.370332670211792, + "loss/hidden": 5.9984375, + "loss/jsd": 0.0, + "loss/logits": 0.5006627842783928, + "step": 260 + }, + { + "epoch": 0.027, + "grad_norm": 129.0, + "grad_norm_var": 427.37395833333335, + "learning_rate": 0.0001, + "loss": 12.8809, + "loss/crossentropy": 2.281908763945103, + "loss/hidden": 5.98671875, + "loss/jsd": 0.0, + "loss/logits": 0.45061586182564495, + "step": 270 + }, + { + "epoch": 0.028, + "grad_norm": 98.0, + "grad_norm_var": 278.1489583333333, + "learning_rate": 0.0001, + "loss": 12.8942, + "loss/crossentropy": 2.3922384053468706, + "loss/hidden": 5.6984375, + "loss/jsd": 0.0, + "loss/logits": 0.44376694336533545, + "step": 280 + }, + { + "epoch": 0.029, + "grad_norm": 99.5, + "grad_norm_var": 303.55, + "learning_rate": 0.0001, + "loss": 12.7122, + "loss/crossentropy": 2.730095013976097, + "loss/hidden": 5.49140625, + "loss/jsd": 0.0, + "loss/logits": 0.4411045670509338, + "step": 290 + }, + { + "epoch": 0.03, + "grad_norm": 112.5, + "grad_norm_var": 359.56666666666666, + "learning_rate": 0.0001, + "loss": 12.5618, + "loss/crossentropy": 2.3741705983877184, + "loss/hidden": 5.43203125, + "loss/jsd": 0.0, + "loss/logits": 0.40091707594692705, + "step": 300 + }, + { + "epoch": 0.031, + "grad_norm": 84.5, + "grad_norm_var": 245.25729166666667, + "learning_rate": 0.0001, + "loss": 12.2525, + "loss/crossentropy": 2.2781229317188263, + "loss/hidden": 5.53515625, + "loss/jsd": 0.0, + "loss/logits": 0.4274128321558237, + "step": 310 + }, + { + "epoch": 0.032, + "grad_norm": 108.5, + "grad_norm_var": 140.59583333333333, + "learning_rate": 0.0001, + "loss": 12.2935, + "loss/crossentropy": 2.5757294684648513, + "loss/hidden": 5.4609375, + "loss/jsd": 0.0, + "loss/logits": 0.42916890494525434, + "step": 320 + }, + { + "epoch": 0.033, + "grad_norm": 108.0, + "grad_norm_var": 70.89895833333334, + "learning_rate": 0.0001, + "loss": 12.1545, + "loss/crossentropy": 2.527638339996338, + "loss/hidden": 5.378125, + "loss/jsd": 0.0, + "loss/logits": 0.4032053742557764, + "step": 330 + }, + { + "epoch": 0.034, + "grad_norm": 210.0, + "grad_norm_var": 1272.465625, + "learning_rate": 0.0001, + "loss": 12.2482, + "loss/crossentropy": 2.5401821002364158, + "loss/hidden": 5.390625, + "loss/jsd": 0.0, + "loss/logits": 0.4444709587842226, + "step": 340 + }, + { + "epoch": 0.035, + "grad_norm": 79.5, + "grad_norm_var": 1376.5958333333333, + "learning_rate": 0.0001, + "loss": 12.08, + "loss/crossentropy": 2.514840933680534, + "loss/hidden": 5.2640625, + "loss/jsd": 0.0, + "loss/logits": 0.4077944982796907, + "step": 350 + }, + { + "epoch": 0.036, + "grad_norm": 87.0, + "grad_norm_var": 418.83229166666666, + "learning_rate": 0.0001, + "loss": 12.0245, + "loss/crossentropy": 2.420889538526535, + "loss/hidden": 5.34921875, + "loss/jsd": 0.0, + "loss/logits": 0.44222328886389733, + "step": 360 + }, + { + "epoch": 0.037, + "grad_norm": 76.5, + "grad_norm_var": 138.5625, + "learning_rate": 0.0001, + "loss": 11.7097, + "loss/crossentropy": 2.2826619133353234, + "loss/hidden": 5.3296875, + "loss/jsd": 0.0, + "loss/logits": 0.3849468305706978, + "step": 370 + }, + { + "epoch": 0.038, + "grad_norm": 96.5, + "grad_norm_var": 184.93229166666666, + "learning_rate": 0.0001, + "loss": 11.465, + "loss/crossentropy": 2.4052042722702027, + "loss/hidden": 5.16796875, + "loss/jsd": 0.0, + "loss/logits": 0.40173302926123144, + "step": 380 + }, + { + "epoch": 0.039, + "grad_norm": 125.5, + "grad_norm_var": 183.09583333333333, + "learning_rate": 0.0001, + "loss": 11.6273, + "loss/crossentropy": 2.540145033597946, + "loss/hidden": 5.215625, + "loss/jsd": 0.0, + "loss/logits": 0.41224894523620603, + "step": 390 + }, + { + "epoch": 0.04, + "grad_norm": 83.5, + "grad_norm_var": 258.315625, + "learning_rate": 0.0001, + "loss": 11.397, + "loss/crossentropy": 2.207468980550766, + "loss/hidden": 5.09296875, + "loss/jsd": 0.0, + "loss/logits": 0.3590874429792166, + "step": 400 + }, + { + "epoch": 0.041, + "grad_norm": 94.5, + "grad_norm_var": 184.5625, + "learning_rate": 0.0001, + "loss": 11.443, + "loss/crossentropy": 2.4378984421491623, + "loss/hidden": 5.21171875, + "loss/jsd": 0.0, + "loss/logits": 0.40493359677493573, + "step": 410 + }, + { + "epoch": 0.042, + "grad_norm": 106.5, + "grad_norm_var": 125.590625, + "learning_rate": 0.0001, + "loss": 11.5678, + "loss/crossentropy": 2.518555220961571, + "loss/hidden": 5.07265625, + "loss/jsd": 0.0, + "loss/logits": 0.4297170080244541, + "step": 420 + }, + { + "epoch": 0.043, + "grad_norm": 87.5, + "grad_norm_var": 115.765625, + "learning_rate": 0.0001, + "loss": 11.3132, + "loss/crossentropy": 2.490597203373909, + "loss/hidden": 5.11171875, + "loss/jsd": 0.0, + "loss/logits": 0.403754598274827, + "step": 430 + }, + { + "epoch": 0.044, + "grad_norm": 92.5, + "grad_norm_var": 156.35729166666667, + "learning_rate": 0.0001, + "loss": 11.1476, + "loss/crossentropy": 2.037529316544533, + "loss/hidden": 5.07421875, + "loss/jsd": 0.0, + "loss/logits": 0.35246654506772757, + "step": 440 + }, + { + "epoch": 0.045, + "grad_norm": 80.5, + "grad_norm_var": 210.66666666666666, + "learning_rate": 0.0001, + "loss": 11.3038, + "loss/crossentropy": 2.3201738983392715, + "loss/hidden": 5.0828125, + "loss/jsd": 0.0, + "loss/logits": 0.38196625709533694, + "step": 450 + }, + { + "epoch": 0.046, + "grad_norm": 107.5, + "grad_norm_var": 284.1666666666667, + "learning_rate": 0.0001, + "loss": 11.3625, + "loss/crossentropy": 2.4791718110442162, + "loss/hidden": 4.95546875, + "loss/jsd": 0.0, + "loss/logits": 0.36495909169316293, + "step": 460 + }, + { + "epoch": 0.047, + "grad_norm": 91.5, + "grad_norm_var": 247.39895833333333, + "learning_rate": 0.0001, + "loss": 11.0542, + "loss/crossentropy": 2.3155667960643767, + "loss/hidden": 4.93828125, + "loss/jsd": 0.0, + "loss/logits": 0.362844867631793, + "step": 470 + }, + { + "epoch": 0.048, + "grad_norm": 95.0, + "grad_norm_var": 194.79895833333333, + "learning_rate": 0.0001, + "loss": 11.2413, + "loss/crossentropy": 2.496318203210831, + "loss/hidden": 4.840625, + "loss/jsd": 0.0, + "loss/logits": 0.3887303464114666, + "step": 480 + }, + { + "epoch": 0.049, + "grad_norm": 74.5, + "grad_norm_var": 243.840625, + "learning_rate": 0.0001, + "loss": 10.9416, + "loss/crossentropy": 2.385223904252052, + "loss/hidden": 4.85234375, + "loss/jsd": 0.0, + "loss/logits": 0.3598880790174007, + "step": 490 + }, + { + "epoch": 0.05, + "grad_norm": 79.0, + "grad_norm_var": 105.990625, + "learning_rate": 0.0001, + "loss": 10.9114, + "loss/crossentropy": 2.2462552055716514, + "loss/hidden": 4.80859375, + "loss/jsd": 0.0, + "loss/logits": 0.3265662036836147, + "step": 500 + }, + { + "epoch": 0.051, + "grad_norm": 96.5, + "grad_norm_var": 138.43229166666666, + "learning_rate": 0.0001, + "loss": 10.8821, + "loss/crossentropy": 2.297148121893406, + "loss/hidden": 4.8609375, + "loss/jsd": 0.0, + "loss/logits": 0.3467547960579395, + "step": 510 + }, + { + "epoch": 0.052, + "grad_norm": 97.5, + "grad_norm_var": 129.365625, + "learning_rate": 0.0001, + "loss": 10.9299, + "loss/crossentropy": 2.4197026968002318, + "loss/hidden": 4.7921875, + "loss/jsd": 0.0, + "loss/logits": 0.3632193084806204, + "step": 520 + }, + { + "epoch": 0.053, + "grad_norm": 81.5, + "grad_norm_var": 99.47395833333333, + "learning_rate": 0.0001, + "loss": 10.787, + "loss/crossentropy": 2.36982424557209, + "loss/hidden": 4.825, + "loss/jsd": 0.0, + "loss/logits": 0.3405680742114782, + "step": 530 + }, + { + "epoch": 0.054, + "grad_norm": 85.5, + "grad_norm_var": 48.340625, + "learning_rate": 0.0001, + "loss": 10.8675, + "loss/crossentropy": 2.4611779801547526, + "loss/hidden": 4.8625, + "loss/jsd": 0.0, + "loss/logits": 0.36872007288038733, + "step": 540 + }, + { + "epoch": 0.055, + "grad_norm": 93.5, + "grad_norm_var": 84.24895833333333, + "learning_rate": 0.0001, + "loss": 10.64, + "loss/crossentropy": 2.1758567959070207, + "loss/hidden": 4.7484375, + "loss/jsd": 0.0, + "loss/logits": 0.3336840860545635, + "step": 550 + }, + { + "epoch": 0.056, + "grad_norm": 114.0, + "grad_norm_var": 129.53098958333334, + "learning_rate": 0.0001, + "loss": 10.5615, + "loss/crossentropy": 2.3970536097884176, + "loss/hidden": 4.7625, + "loss/jsd": 0.0, + "loss/logits": 0.34276723079383375, + "step": 560 + }, + { + "epoch": 0.057, + "grad_norm": 80.0, + "grad_norm_var": 579.57890625, + "learning_rate": 0.0001, + "loss": 10.8999, + "loss/crossentropy": 2.4695185527205465, + "loss/hidden": 4.9453125, + "loss/jsd": 0.0, + "loss/logits": 0.42829814068973066, + "step": 570 + }, + { + "epoch": 0.058, + "grad_norm": 85.0, + "grad_norm_var": 596.9572916666667, + "learning_rate": 0.0001, + "loss": 10.8802, + "loss/crossentropy": 2.3520184576511385, + "loss/hidden": 4.790625, + "loss/jsd": 0.0, + "loss/logits": 0.3662864986807108, + "step": 580 + }, + { + "epoch": 0.059, + "grad_norm": 73.0, + "grad_norm_var": 181.69583333333333, + "learning_rate": 0.0001, + "loss": 10.6744, + "loss/crossentropy": 2.2842736929655074, + "loss/hidden": 4.71484375, + "loss/jsd": 0.0, + "loss/logits": 0.3500846643000841, + "step": 590 + }, + { + "epoch": 0.06, + "grad_norm": 97.0, + "grad_norm_var": 160.58307291666668, + "learning_rate": 0.0001, + "loss": 10.6987, + "loss/crossentropy": 2.29906165599823, + "loss/hidden": 4.602734375, + "loss/jsd": 0.0, + "loss/logits": 0.334361494705081, + "step": 600 + }, + { + "epoch": 0.061, + "grad_norm": 89.0, + "grad_norm_var": 162.67682291666668, + "learning_rate": 0.0001, + "loss": 10.6143, + "loss/crossentropy": 2.3032930195331573, + "loss/hidden": 4.6703125, + "loss/jsd": 0.0, + "loss/logits": 0.3258141163736582, + "step": 610 + }, + { + "epoch": 0.062, + "grad_norm": 77.5, + "grad_norm_var": 97.12916666666666, + "learning_rate": 0.0001, + "loss": 10.5946, + "loss/crossentropy": 2.452244046330452, + "loss/hidden": 4.7109375, + "loss/jsd": 0.0, + "loss/logits": 0.3432691916823387, + "step": 620 + }, + { + "epoch": 0.063, + "grad_norm": 75.5, + "grad_norm_var": 227.69973958333333, + "learning_rate": 0.0001, + "loss": 10.6287, + "loss/crossentropy": 2.2894835874438284, + "loss/hidden": 4.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.35672005768865345, + "step": 630 + }, + { + "epoch": 0.064, + "grad_norm": 70.0, + "grad_norm_var": 541.2322916666667, + "learning_rate": 0.0001, + "loss": 10.6195, + "loss/crossentropy": 2.4114772886037827, + "loss/hidden": 4.70546875, + "loss/jsd": 0.0, + "loss/logits": 0.35591375902295114, + "step": 640 + }, + { + "epoch": 0.065, + "grad_norm": 77.0, + "grad_norm_var": 435.15390625, + "learning_rate": 0.0001, + "loss": 10.4142, + "loss/crossentropy": 2.332440134882927, + "loss/hidden": 4.634375, + "loss/jsd": 0.0, + "loss/logits": 0.339809150993824, + "step": 650 + }, + { + "epoch": 0.066, + "grad_norm": 71.5, + "grad_norm_var": 118.03307291666667, + "learning_rate": 0.0001, + "loss": 10.4602, + "loss/crossentropy": 2.154422373324633, + "loss/hidden": 4.54140625, + "loss/jsd": 0.0, + "loss/logits": 0.3334257358685136, + "step": 660 + }, + { + "epoch": 0.067, + "grad_norm": 73.5, + "grad_norm_var": 144.94166666666666, + "learning_rate": 0.0001, + "loss": 10.5185, + "loss/crossentropy": 2.3223402693867685, + "loss/hidden": 4.795703125, + "loss/jsd": 0.0, + "loss/logits": 0.37188967503607273, + "step": 670 + }, + { + "epoch": 0.068, + "grad_norm": 61.5, + "grad_norm_var": 169.65598958333334, + "learning_rate": 0.0001, + "loss": 10.5323, + "loss/crossentropy": 2.332353001832962, + "loss/hidden": 4.50625, + "loss/jsd": 0.0, + "loss/logits": 0.31948004066944125, + "step": 680 + }, + { + "epoch": 0.069, + "grad_norm": 74.0, + "grad_norm_var": 155.94140625, + "learning_rate": 0.0001, + "loss": 10.4359, + "loss/crossentropy": 2.4077556908130644, + "loss/hidden": 4.623828125, + "loss/jsd": 0.0, + "loss/logits": 0.339173823595047, + "step": 690 + }, + { + "epoch": 0.07, + "grad_norm": 82.5, + "grad_norm_var": 125.55416666666666, + "learning_rate": 0.0001, + "loss": 10.4493, + "loss/crossentropy": 2.292634981870651, + "loss/hidden": 4.571875, + "loss/jsd": 0.0, + "loss/logits": 0.3477486100047827, + "step": 700 + }, + { + "epoch": 0.071, + "grad_norm": 88.0, + "grad_norm_var": 155.84166666666667, + "learning_rate": 0.0001, + "loss": 10.2041, + "loss/crossentropy": 2.4034020826220512, + "loss/hidden": 4.53046875, + "loss/jsd": 0.0, + "loss/logits": 0.3406600248068571, + "step": 710 + }, + { + "epoch": 0.072, + "grad_norm": 124.0, + "grad_norm_var": 230.83307291666668, + "learning_rate": 0.0001, + "loss": 10.3489, + "loss/crossentropy": 2.333241228759289, + "loss/hidden": 4.6015625, + "loss/jsd": 0.0, + "loss/logits": 0.3285223826766014, + "step": 720 + }, + { + "epoch": 0.073, + "grad_norm": 71.0, + "grad_norm_var": 278.95390625, + "learning_rate": 0.0001, + "loss": 10.1548, + "loss/crossentropy": 2.4066421508789064, + "loss/hidden": 4.682421875, + "loss/jsd": 0.0, + "loss/logits": 0.338771004602313, + "step": 730 + }, + { + "epoch": 0.074, + "grad_norm": 84.5, + "grad_norm_var": 166.85729166666667, + "learning_rate": 0.0001, + "loss": 10.2647, + "loss/crossentropy": 2.2724754482507707, + "loss/hidden": 4.567578125, + "loss/jsd": 0.0, + "loss/logits": 0.3267147310078144, + "step": 740 + }, + { + "epoch": 0.075, + "grad_norm": 67.5, + "grad_norm_var": 343.5247395833333, + "learning_rate": 0.0001, + "loss": 10.2815, + "loss/crossentropy": 2.3046080738306047, + "loss/hidden": 4.473828125, + "loss/jsd": 0.0, + "loss/logits": 0.33236319161951544, + "step": 750 + }, + { + "epoch": 0.076, + "grad_norm": 68.5, + "grad_norm_var": 306.540625, + "learning_rate": 0.0001, + "loss": 10.2479, + "loss/crossentropy": 2.2831736013293265, + "loss/hidden": 4.62734375, + "loss/jsd": 0.0, + "loss/logits": 0.3329113606363535, + "step": 760 + }, + { + "epoch": 0.077, + "grad_norm": 88.5, + "grad_norm_var": 111.57473958333334, + "learning_rate": 0.0001, + "loss": 10.2161, + "loss/crossentropy": 2.3853780582547186, + "loss/hidden": 4.541015625, + "loss/jsd": 0.0, + "loss/logits": 0.31959532871842383, + "step": 770 + }, + { + "epoch": 0.078, + "grad_norm": 80.5, + "grad_norm_var": 110.65729166666667, + "learning_rate": 0.0001, + "loss": 10.2076, + "loss/crossentropy": 2.3982744574546815, + "loss/hidden": 4.55859375, + "loss/jsd": 0.0, + "loss/logits": 0.3542841043323278, + "step": 780 + }, + { + "epoch": 0.079, + "grad_norm": 66.0, + "grad_norm_var": 275.6322916666667, + "learning_rate": 0.0001, + "loss": 10.1697, + "loss/crossentropy": 2.4292824655771255, + "loss/hidden": 4.632421875, + "loss/jsd": 0.0, + "loss/logits": 0.36711033545434474, + "step": 790 + }, + { + "epoch": 0.08, + "grad_norm": 57.25, + "grad_norm_var": 290.9291666666667, + "learning_rate": 0.0001, + "loss": 10.2176, + "loss/crossentropy": 2.380542576313019, + "loss/hidden": 4.509375, + "loss/jsd": 0.0, + "loss/logits": 0.3368827097117901, + "step": 800 + }, + { + "epoch": 0.081, + "grad_norm": 60.75, + "grad_norm_var": 52.67916666666667, + "learning_rate": 0.0001, + "loss": 10.2311, + "loss/crossentropy": 2.4212940514087675, + "loss/hidden": 4.55546875, + "loss/jsd": 0.0, + "loss/logits": 0.355662290379405, + "step": 810 + }, + { + "epoch": 0.082, + "grad_norm": 60.75, + "grad_norm_var": 65.81666666666666, + "learning_rate": 0.0001, + "loss": 10.1866, + "loss/crossentropy": 2.4809795886278154, + "loss/hidden": 4.49140625, + "loss/jsd": 0.0, + "loss/logits": 0.3553234666585922, + "step": 820 + }, + { + "epoch": 0.083, + "grad_norm": 56.5, + "grad_norm_var": 98.2875, + "learning_rate": 0.0001, + "loss": 9.9805, + "loss/crossentropy": 2.306653854250908, + "loss/hidden": 4.40078125, + "loss/jsd": 0.0, + "loss/logits": 0.3146494958549738, + "step": 830 + }, + { + "epoch": 0.084, + "grad_norm": 68.0, + "grad_norm_var": 38.51015625, + "learning_rate": 0.0001, + "loss": 10.1087, + "loss/crossentropy": 2.250006601214409, + "loss/hidden": 4.422265625, + "loss/jsd": 0.0, + "loss/logits": 0.30200174674391744, + "step": 840 + }, + { + "epoch": 0.085, + "grad_norm": 70.5, + "grad_norm_var": 43.483072916666664, + "learning_rate": 0.0001, + "loss": 10.0526, + "loss/crossentropy": 2.211633677780628, + "loss/hidden": 4.47421875, + "loss/jsd": 0.0, + "loss/logits": 0.31178686060011385, + "step": 850 + }, + { + "epoch": 0.086, + "grad_norm": 61.0, + "grad_norm_var": 41.545572916666664, + "learning_rate": 0.0001, + "loss": 10.1915, + "loss/crossentropy": 2.5281356513500213, + "loss/hidden": 4.389453125, + "loss/jsd": 0.0, + "loss/logits": 0.34625968635082244, + "step": 860 + }, + { + "epoch": 0.087, + "grad_norm": 72.5, + "grad_norm_var": 54.475, + "learning_rate": 0.0001, + "loss": 10.0007, + "loss/crossentropy": 2.4020907685160635, + "loss/hidden": 4.326171875, + "loss/jsd": 0.0, + "loss/logits": 0.32252500094473363, + "step": 870 + }, + { + "epoch": 0.088, + "grad_norm": 142.0, + "grad_norm_var": 499.1375, + "learning_rate": 0.0001, + "loss": 9.99, + "loss/crossentropy": 2.384984764456749, + "loss/hidden": 4.38515625, + "loss/jsd": 0.0, + "loss/logits": 0.3189360786229372, + "step": 880 + }, + { + "epoch": 0.089, + "grad_norm": 57.75, + "grad_norm_var": 527.23515625, + "learning_rate": 0.0001, + "loss": 9.9879, + "loss/crossentropy": 2.3401281625032424, + "loss/hidden": 4.46328125, + "loss/jsd": 0.0, + "loss/logits": 0.3382201848551631, + "step": 890 + }, + { + "epoch": 0.09, + "grad_norm": 71.5, + "grad_norm_var": 95.97265625, + "learning_rate": 0.0001, + "loss": 9.9352, + "loss/crossentropy": 2.3969784706830977, + "loss/hidden": 4.384375, + "loss/jsd": 0.0, + "loss/logits": 0.336395762488246, + "step": 900 + }, + { + "epoch": 0.091, + "grad_norm": 79.0, + "grad_norm_var": 144.96666666666667, + "learning_rate": 0.0001, + "loss": 10.149, + "loss/crossentropy": 2.4599110893905163, + "loss/hidden": 4.30703125, + "loss/jsd": 0.0, + "loss/logits": 0.3240171395242214, + "step": 910 + }, + { + "epoch": 0.092, + "grad_norm": 65.5, + "grad_norm_var": 119.2375, + "learning_rate": 0.0001, + "loss": 9.9634, + "loss/crossentropy": 2.4210876494646074, + "loss/hidden": 4.30390625, + "loss/jsd": 0.0, + "loss/logits": 0.32166178375482557, + "step": 920 + }, + { + "epoch": 0.093, + "grad_norm": 63.0, + "grad_norm_var": 41.47083333333333, + "learning_rate": 0.0001, + "loss": 9.744, + "loss/crossentropy": 2.2256636448204516, + "loss/hidden": 4.284765625, + "loss/jsd": 0.0, + "loss/logits": 0.29795306362211704, + "step": 930 + }, + { + "epoch": 0.094, + "grad_norm": 53.5, + "grad_norm_var": 192.55807291666667, + "learning_rate": 0.0001, + "loss": 9.8636, + "loss/crossentropy": 2.297808923572302, + "loss/hidden": 4.31640625, + "loss/jsd": 0.0, + "loss/logits": 0.30742434673011304, + "step": 940 + }, + { + "epoch": 0.095, + "grad_norm": 61.0, + "grad_norm_var": 81.95729166666666, + "learning_rate": 0.0001, + "loss": 9.798, + "loss/crossentropy": 2.3219059616327287, + "loss/hidden": 4.211328125, + "loss/jsd": 0.0, + "loss/logits": 0.30037002861499784, + "step": 950 + }, + { + "epoch": 0.096, + "grad_norm": 56.75, + "grad_norm_var": 61.55807291666667, + "learning_rate": 0.0001, + "loss": 9.7449, + "loss/crossentropy": 2.3104363679885864, + "loss/hidden": 4.388671875, + "loss/jsd": 0.0, + "loss/logits": 0.327311984449625, + "step": 960 + }, + { + "epoch": 0.097, + "grad_norm": 60.0, + "grad_norm_var": 56.18932291666667, + "learning_rate": 0.0001, + "loss": 9.9668, + "loss/crossentropy": 2.308886554837227, + "loss/hidden": 4.407421875, + "loss/jsd": 0.0, + "loss/logits": 0.3183224782347679, + "step": 970 + }, + { + "epoch": 0.098, + "grad_norm": 66.5, + "grad_norm_var": 42.05416666666667, + "learning_rate": 0.0001, + "loss": 9.7807, + "loss/crossentropy": 2.3363482102751734, + "loss/hidden": 4.2921875, + "loss/jsd": 0.0, + "loss/logits": 0.3384779039770365, + "step": 980 + }, + { + "epoch": 0.099, + "grad_norm": 57.25, + "grad_norm_var": 56.891666666666666, + "learning_rate": 0.0001, + "loss": 9.7501, + "loss/crossentropy": 2.1767295479774473, + "loss/hidden": 4.466015625, + "loss/jsd": 0.0, + "loss/logits": 0.31410733237862587, + "step": 990 + }, + { + "epoch": 0.1, + "grad_norm": 50.25, + "grad_norm_var": 75.85598958333334, + "learning_rate": 0.0001, + "loss": 9.9273, + "loss/crossentropy": 2.505411845445633, + "loss/hidden": 4.36015625, + "loss/jsd": 0.0, + "loss/logits": 0.33212706074118614, + "step": 1000 + }, + { + "epoch": 0.101, + "grad_norm": 77.5, + "grad_norm_var": 196.21848958333334, + "learning_rate": 0.0001, + "loss": 9.9237, + "loss/crossentropy": 2.3281257838010787, + "loss/hidden": 4.35546875, + "loss/jsd": 0.0, + "loss/logits": 0.32293859515339135, + "step": 1010 + }, + { + "epoch": 0.102, + "grad_norm": 63.25, + "grad_norm_var": 167.42395833333333, + "learning_rate": 0.0001, + "loss": 9.7592, + "loss/crossentropy": 2.3165650010108947, + "loss/hidden": 4.32890625, + "loss/jsd": 0.0, + "loss/logits": 0.31759811006486416, + "step": 1020 + }, + { + "epoch": 0.103, + "grad_norm": 60.0, + "grad_norm_var": 153.80833333333334, + "learning_rate": 0.0001, + "loss": 9.7366, + "loss/crossentropy": 2.3203016728162766, + "loss/hidden": 4.28515625, + "loss/jsd": 0.0, + "loss/logits": 0.31944827549159527, + "step": 1030 + }, + { + "epoch": 0.104, + "grad_norm": 66.5, + "grad_norm_var": 3319.3958333333335, + "learning_rate": 0.0001, + "loss": 10.0035, + "loss/crossentropy": 2.4188640087842943, + "loss/hidden": 4.38828125, + "loss/jsd": 0.0, + "loss/logits": 0.3581279247999191, + "step": 1040 + }, + { + "epoch": 0.105, + "grad_norm": 60.25, + "grad_norm_var": 3338.31640625, + "learning_rate": 0.0001, + "loss": 9.6837, + "loss/crossentropy": 2.2860016629099844, + "loss/hidden": 4.325390625, + "loss/jsd": 0.0, + "loss/logits": 0.318701284006238, + "step": 1050 + }, + { + "epoch": 0.106, + "grad_norm": 74.0, + "grad_norm_var": 112.4, + "learning_rate": 0.0001, + "loss": 9.517, + "loss/crossentropy": 2.4143033266067504, + "loss/hidden": 4.319140625, + "loss/jsd": 0.0, + "loss/logits": 0.3072842717170715, + "step": 1060 + }, + { + "epoch": 0.107, + "grad_norm": 71.5, + "grad_norm_var": 68.60598958333334, + "learning_rate": 0.0001, + "loss": 9.8549, + "loss/crossentropy": 2.351083371043205, + "loss/hidden": 4.398046875, + "loss/jsd": 0.0, + "loss/logits": 0.33429058492183683, + "step": 1070 + }, + { + "epoch": 0.108, + "grad_norm": 53.25, + "grad_norm_var": 43.83229166666667, + "learning_rate": 0.0001, + "loss": 9.7738, + "loss/crossentropy": 2.4011227190494537, + "loss/hidden": 4.29453125, + "loss/jsd": 0.0, + "loss/logits": 0.3128178097307682, + "step": 1080 + }, + { + "epoch": 0.109, + "grad_norm": 72.0, + "grad_norm_var": 34.82890625, + "learning_rate": 0.0001, + "loss": 9.7432, + "loss/crossentropy": 2.310031126439571, + "loss/hidden": 4.38984375, + "loss/jsd": 0.0, + "loss/logits": 0.3273486144840717, + "step": 1090 + }, + { + "epoch": 0.11, + "grad_norm": 66.5, + "grad_norm_var": 111.64895833333334, + "learning_rate": 0.0001, + "loss": 9.6743, + "loss/crossentropy": 2.3055127263069153, + "loss/hidden": 4.21796875, + "loss/jsd": 0.0, + "loss/logits": 0.32233874313533306, + "step": 1100 + }, + { + "epoch": 0.111, + "grad_norm": 51.5, + "grad_norm_var": 46.70729166666667, + "learning_rate": 0.0001, + "loss": 9.8026, + "loss/crossentropy": 2.314373381435871, + "loss/hidden": 4.256640625, + "loss/jsd": 0.0, + "loss/logits": 0.3083756107836962, + "step": 1110 + }, + { + "epoch": 0.112, + "grad_norm": 57.75, + "grad_norm_var": 7292.4375, + "learning_rate": 0.0001, + "loss": 9.7291, + "loss/crossentropy": 2.5138203650712967, + "loss/hidden": 4.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.30809955932199956, + "step": 1120 + }, + { + "epoch": 0.113, + "grad_norm": 56.5, + "grad_norm_var": 29.190625, + "learning_rate": 0.0001, + "loss": 9.6823, + "loss/crossentropy": 2.2719234466552733, + "loss/hidden": 4.294140625, + "loss/jsd": 0.0, + "loss/logits": 0.3143883816897869, + "step": 1130 + }, + { + "epoch": 0.114, + "grad_norm": 60.5, + "grad_norm_var": 45.925, + "learning_rate": 0.0001, + "loss": 9.7564, + "loss/crossentropy": 2.4254489660263063, + "loss/hidden": 4.261328125, + "loss/jsd": 0.0, + "loss/logits": 0.3154076419770718, + "step": 1140 + }, + { + "epoch": 0.115, + "grad_norm": 56.0, + "grad_norm_var": 71.74583333333334, + "learning_rate": 0.0001, + "loss": 9.7001, + "loss/crossentropy": 2.28252642005682, + "loss/hidden": 4.323046875, + "loss/jsd": 0.0, + "loss/logits": 0.3203336976468563, + "step": 1150 + }, + { + "epoch": 0.116, + "grad_norm": 67.0, + "grad_norm_var": 46.040625, + "learning_rate": 0.0001, + "loss": 9.7436, + "loss/crossentropy": 2.391976150870323, + "loss/hidden": 4.225390625, + "loss/jsd": 0.0, + "loss/logits": 0.31455044373869895, + "step": 1160 + }, + { + "epoch": 0.117, + "grad_norm": 46.0, + "grad_norm_var": 47.06640625, + "learning_rate": 0.0001, + "loss": 9.5622, + "loss/crossentropy": 2.3361207604408265, + "loss/hidden": 4.19296875, + "loss/jsd": 0.0, + "loss/logits": 0.30060703232884406, + "step": 1170 + }, + { + "epoch": 0.118, + "grad_norm": 56.25, + "grad_norm_var": 49.264322916666664, + "learning_rate": 0.0001, + "loss": 9.6834, + "loss/crossentropy": 2.297483670711517, + "loss/hidden": 4.2890625, + "loss/jsd": 0.0, + "loss/logits": 0.2907493541017175, + "step": 1180 + }, + { + "epoch": 0.119, + "grad_norm": 52.5, + "grad_norm_var": 12.27890625, + "learning_rate": 0.0001, + "loss": 9.6207, + "loss/crossentropy": 2.2364058643579483, + "loss/hidden": 4.277734375, + "loss/jsd": 0.0, + "loss/logits": 0.3097097765654325, + "step": 1190 + }, + { + "epoch": 0.12, + "grad_norm": 68.5, + "grad_norm_var": 35.055989583333336, + "learning_rate": 0.0001, + "loss": 9.6018, + "loss/crossentropy": 2.2412969201803206, + "loss/hidden": 4.287109375, + "loss/jsd": 0.0, + "loss/logits": 0.31851550191640854, + "step": 1200 + }, + { + "epoch": 0.121, + "grad_norm": 60.5, + "grad_norm_var": 25.774739583333332, + "learning_rate": 0.0001, + "loss": 9.6979, + "loss/crossentropy": 2.3062032952904703, + "loss/hidden": 4.258984375, + "loss/jsd": 0.0, + "loss/logits": 0.3124631106853485, + "step": 1210 + }, + { + "epoch": 0.122, + "grad_norm": 59.25, + "grad_norm_var": 20.026822916666667, + "learning_rate": 0.0001, + "loss": 9.7129, + "loss/crossentropy": 2.4036868065595627, + "loss/hidden": 4.20234375, + "loss/jsd": 0.0, + "loss/logits": 0.31101155243813994, + "step": 1220 + }, + { + "epoch": 0.123, + "grad_norm": 53.25, + "grad_norm_var": 75.30833333333334, + "learning_rate": 0.0001, + "loss": 9.7047, + "loss/crossentropy": 2.3730016142129897, + "loss/hidden": 4.193359375, + "loss/jsd": 0.0, + "loss/logits": 0.3105484452098608, + "step": 1230 + }, + { + "epoch": 0.124, + "grad_norm": 62.25, + "grad_norm_var": 33.27682291666667, + "learning_rate": 0.0001, + "loss": 9.6313, + "loss/crossentropy": 2.2872567594051363, + "loss/hidden": 4.319140625, + "loss/jsd": 0.0, + "loss/logits": 0.3244694545865059, + "step": 1240 + }, + { + "epoch": 0.125, + "grad_norm": 61.25, + "grad_norm_var": 25.673958333333335, + "learning_rate": 0.0001, + "loss": 9.6217, + "loss/crossentropy": 2.3013710603117943, + "loss/hidden": 4.29140625, + "loss/jsd": 0.0, + "loss/logits": 0.32178852558135984, + "step": 1250 + }, + { + "epoch": 0.126, + "grad_norm": 49.5, + "grad_norm_var": 46.97265625, + "learning_rate": 0.0001, + "loss": 9.6151, + "loss/crossentropy": 2.2743802405893803, + "loss/hidden": 4.19921875, + "loss/jsd": 0.0, + "loss/logits": 0.3104738780297339, + "step": 1260 + }, + { + "epoch": 0.127, + "grad_norm": 52.25, + "grad_norm_var": 318.94557291666666, + "learning_rate": 0.0001, + "loss": 9.635, + "loss/crossentropy": 2.2751111879944803, + "loss/hidden": 4.17578125, + "loss/jsd": 0.0, + "loss/logits": 0.2947248375043273, + "step": 1270 + }, + { + "epoch": 0.128, + "grad_norm": 59.5, + "grad_norm_var": 201.26848958333332, + "learning_rate": 0.0001, + "loss": 9.605, + "loss/crossentropy": 2.3590754181146623, + "loss/hidden": 4.116015625, + "loss/jsd": 0.0, + "loss/logits": 0.29773430675268175, + "step": 1280 + }, + { + "epoch": 0.129, + "grad_norm": 50.0, + "grad_norm_var": 25.795833333333334, + "learning_rate": 0.0001, + "loss": 9.4314, + "loss/crossentropy": 2.165515697002411, + "loss/hidden": 4.148046875, + "loss/jsd": 0.0, + "loss/logits": 0.2729496695101261, + "step": 1290 + }, + { + "epoch": 0.13, + "grad_norm": 51.5, + "grad_norm_var": 65.69557291666666, + "learning_rate": 0.0001, + "loss": 9.4579, + "loss/crossentropy": 2.425456903874874, + "loss/hidden": 4.1140625, + "loss/jsd": 0.0, + "loss/logits": 0.3002984166145325, + "step": 1300 + }, + { + "epoch": 0.131, + "grad_norm": 55.75, + "grad_norm_var": 74.63515625, + "learning_rate": 0.0001, + "loss": 9.562, + "loss/crossentropy": 2.3212677478790282, + "loss/hidden": 4.209765625, + "loss/jsd": 0.0, + "loss/logits": 0.28645528480410576, + "step": 1310 + }, + { + "epoch": 0.132, + "grad_norm": 44.75, + "grad_norm_var": 39.139322916666664, + "learning_rate": 0.0001, + "loss": 9.305, + "loss/crossentropy": 2.2911602184176445, + "loss/hidden": 4.133984375, + "loss/jsd": 0.0, + "loss/logits": 0.28404638059437276, + "step": 1320 + }, + { + "epoch": 0.133, + "grad_norm": 52.25, + "grad_norm_var": 76.19583333333334, + "learning_rate": 0.0001, + "loss": 9.3122, + "loss/crossentropy": 2.3109163105487824, + "loss/hidden": 4.137109375, + "loss/jsd": 0.0, + "loss/logits": 0.2864396806806326, + "step": 1330 + }, + { + "epoch": 0.134, + "grad_norm": 47.0, + "grad_norm_var": 41.66015625, + "learning_rate": 0.0001, + "loss": 9.4629, + "loss/crossentropy": 2.353537403047085, + "loss/hidden": 4.08203125, + "loss/jsd": 0.0, + "loss/logits": 0.2971150416880846, + "step": 1340 + }, + { + "epoch": 0.135, + "grad_norm": 46.25, + "grad_norm_var": 45.31848958333333, + "learning_rate": 0.0001, + "loss": 9.365, + "loss/crossentropy": 2.3774181246757506, + "loss/hidden": 4.09296875, + "loss/jsd": 0.0, + "loss/logits": 0.2799839396029711, + "step": 1350 + }, + { + "epoch": 0.136, + "grad_norm": 51.0, + "grad_norm_var": 17.93515625, + "learning_rate": 0.0001, + "loss": 9.3498, + "loss/crossentropy": 2.246833881735802, + "loss/hidden": 4.18828125, + "loss/jsd": 0.0, + "loss/logits": 0.2903384942561388, + "step": 1360 + }, + { + "epoch": 0.137, + "grad_norm": 51.25, + "grad_norm_var": 12.420833333333333, + "learning_rate": 0.0001, + "loss": 9.4976, + "loss/crossentropy": 2.453240838646889, + "loss/hidden": 4.173828125, + "loss/jsd": 0.0, + "loss/logits": 0.3144164770841599, + "step": 1370 + }, + { + "epoch": 0.138, + "grad_norm": 70.0, + "grad_norm_var": 2011.0322916666667, + "learning_rate": 0.0001, + "loss": 9.5884, + "loss/crossentropy": 2.174116183817387, + "loss/hidden": 4.24921875, + "loss/jsd": 0.0, + "loss/logits": 0.2923248626291752, + "step": 1380 + }, + { + "epoch": 0.139, + "grad_norm": 53.75, + "grad_norm_var": 1988.8833333333334, + "learning_rate": 0.0001, + "loss": 9.5249, + "loss/crossentropy": 2.3638354018330574, + "loss/hidden": 4.184765625, + "loss/jsd": 0.0, + "loss/logits": 0.3066251628100872, + "step": 1390 + }, + { + "epoch": 0.14, + "grad_norm": 55.5, + "grad_norm_var": 22.779166666666665, + "learning_rate": 0.0001, + "loss": 9.3528, + "loss/crossentropy": 2.4166768550872804, + "loss/hidden": 4.123828125, + "loss/jsd": 0.0, + "loss/logits": 0.29636494982987643, + "step": 1400 + }, + { + "epoch": 0.141, + "grad_norm": 60.5, + "grad_norm_var": 66.59348958333334, + "learning_rate": 0.0001, + "loss": 9.5339, + "loss/crossentropy": 2.3475931867957116, + "loss/hidden": 4.1953125, + "loss/jsd": 0.0, + "loss/logits": 0.30608872696757317, + "step": 1410 + }, + { + "epoch": 0.142, + "grad_norm": 51.25, + "grad_norm_var": 62.49140625, + "learning_rate": 0.0001, + "loss": 9.3342, + "loss/crossentropy": 2.1785849004983904, + "loss/hidden": 4.161328125, + "loss/jsd": 0.0, + "loss/logits": 0.27641028352081776, + "step": 1420 + }, + { + "epoch": 0.143, + "grad_norm": 54.25, + "grad_norm_var": 30.154166666666665, + "learning_rate": 0.0001, + "loss": 9.3898, + "loss/crossentropy": 2.3990818440914152, + "loss/hidden": 4.18359375, + "loss/jsd": 0.0, + "loss/logits": 0.2944341886788607, + "step": 1430 + }, + { + "epoch": 0.144, + "grad_norm": 51.75, + "grad_norm_var": 38.93932291666667, + "learning_rate": 0.0001, + "loss": 9.4628, + "loss/crossentropy": 2.4946817860007284, + "loss/hidden": 4.198828125, + "loss/jsd": 0.0, + "loss/logits": 0.31867978498339655, + "step": 1440 + }, + { + "epoch": 0.145, + "grad_norm": 53.75, + "grad_norm_var": 33.9, + "learning_rate": 0.0001, + "loss": 9.3416, + "loss/crossentropy": 2.2067521095275877, + "loss/hidden": 4.235546875, + "loss/jsd": 0.0, + "loss/logits": 0.2976540043950081, + "step": 1450 + }, + { + "epoch": 0.146, + "grad_norm": 60.75, + "grad_norm_var": 142.08229166666666, + "learning_rate": 0.0001, + "loss": 9.4716, + "loss/crossentropy": 2.4361192852258684, + "loss/hidden": 4.1140625, + "loss/jsd": 0.0, + "loss/logits": 0.2877715673297644, + "step": 1460 + }, + { + "epoch": 0.147, + "grad_norm": 58.75, + "grad_norm_var": 44.35, + "learning_rate": 0.0001, + "loss": 9.4006, + "loss/crossentropy": 2.239429622516036, + "loss/hidden": 4.026171875, + "loss/jsd": 0.0, + "loss/logits": 0.27844256814569235, + "step": 1470 + }, + { + "epoch": 0.148, + "grad_norm": 45.0, + "grad_norm_var": 33.95390625, + "learning_rate": 0.0001, + "loss": 9.3993, + "loss/crossentropy": 2.0759536787867545, + "loss/hidden": 4.068359375, + "loss/jsd": 0.0, + "loss/logits": 0.2688772227615118, + "step": 1480 + }, + { + "epoch": 0.149, + "grad_norm": 51.75, + "grad_norm_var": 25.795833333333334, + "learning_rate": 0.0001, + "loss": 9.3786, + "loss/crossentropy": 2.286362998187542, + "loss/hidden": 4.15078125, + "loss/jsd": 0.0, + "loss/logits": 0.2942257083952427, + "step": 1490 + }, + { + "epoch": 0.15, + "grad_norm": 46.75, + "grad_norm_var": 20.520833333333332, + "learning_rate": 0.0001, + "loss": 9.2903, + "loss/crossentropy": 2.312733788788319, + "loss/hidden": 3.971484375, + "loss/jsd": 0.0, + "loss/logits": 0.2691910218447447, + "step": 1500 + }, + { + "epoch": 0.151, + "grad_norm": 50.25, + "grad_norm_var": 28.290625, + "learning_rate": 0.0001, + "loss": 9.3076, + "loss/crossentropy": 2.2467628076672552, + "loss/hidden": 4.105078125, + "loss/jsd": 0.0, + "loss/logits": 0.2887777745723724, + "step": 1510 + }, + { + "epoch": 0.152, + "grad_norm": 63.5, + "grad_norm_var": 33.73098958333333, + "learning_rate": 0.0001, + "loss": 9.4203, + "loss/crossentropy": 2.372379180788994, + "loss/hidden": 4.07578125, + "loss/jsd": 0.0, + "loss/logits": 0.3087839350104332, + "step": 1520 + }, + { + "epoch": 0.153, + "grad_norm": 45.5, + "grad_norm_var": 40.108333333333334, + "learning_rate": 0.0001, + "loss": 9.3215, + "loss/crossentropy": 2.3452367037534714, + "loss/hidden": 4.210546875, + "loss/jsd": 0.0, + "loss/logits": 0.3159611392766237, + "step": 1530 + }, + { + "epoch": 0.154, + "grad_norm": 58.25, + "grad_norm_var": 27.539322916666666, + "learning_rate": 0.0001, + "loss": 9.3755, + "loss/crossentropy": 2.3029753446578978, + "loss/hidden": 3.999609375, + "loss/jsd": 0.0, + "loss/logits": 0.2623455457389355, + "step": 1540 + }, + { + "epoch": 0.155, + "grad_norm": 51.75, + "grad_norm_var": 26.9, + "learning_rate": 0.0001, + "loss": 9.3578, + "loss/crossentropy": 2.3988554388284684, + "loss/hidden": 4.08828125, + "loss/jsd": 0.0, + "loss/logits": 0.2846154376864433, + "step": 1550 + }, + { + "epoch": 0.156, + "grad_norm": 91.0, + "grad_norm_var": 1307.8372395833333, + "learning_rate": 0.0001, + "loss": 9.432, + "loss/crossentropy": 2.343544365465641, + "loss/hidden": 4.021875, + "loss/jsd": 0.0, + "loss/logits": 0.2907770898193121, + "step": 1560 + }, + { + "epoch": 0.157, + "grad_norm": 52.0, + "grad_norm_var": 170.62890625, + "learning_rate": 0.0001, + "loss": 9.3432, + "loss/crossentropy": 2.173108433187008, + "loss/hidden": 4.10859375, + "loss/jsd": 0.0, + "loss/logits": 0.28518917988985776, + "step": 1570 + }, + { + "epoch": 0.158, + "grad_norm": 42.0, + "grad_norm_var": 47.56015625, + "learning_rate": 0.0001, + "loss": 9.367, + "loss/crossentropy": 2.2230691239237785, + "loss/hidden": 4.23515625, + "loss/jsd": 0.0, + "loss/logits": 0.30039387457072736, + "step": 1580 + }, + { + "epoch": 0.159, + "grad_norm": 72.0, + "grad_norm_var": 1.226104970407838e+18, + "learning_rate": 0.0001, + "loss": 9.3564, + "loss/crossentropy": 2.263391149044037, + "loss/hidden": 4.10625, + "loss/jsd": 0.0, + "loss/logits": 0.2923804897814989, + "step": 1590 + }, + { + "epoch": 0.16, + "grad_norm": 52.5, + "grad_norm_var": 1.2261049681378806e+18, + "learning_rate": 0.0001, + "loss": 9.4959, + "loss/crossentropy": 2.113241518288851, + "loss/hidden": 4.087109375, + "loss/jsd": 0.0, + "loss/logits": 0.2759646028280258, + "step": 1600 + }, + { + "epoch": 0.161, + "grad_norm": 66.0, + "grad_norm_var": 734.1489583333333, + "learning_rate": 0.0001, + "loss": 9.4743, + "loss/crossentropy": 2.3895165085792542, + "loss/hidden": 4.059765625, + "loss/jsd": 0.0, + "loss/logits": 0.2987998936325312, + "step": 1610 + }, + { + "epoch": 0.162, + "grad_norm": 44.75, + "grad_norm_var": 50.00182291666667, + "learning_rate": 0.0001, + "loss": 9.1919, + "loss/crossentropy": 2.251766300201416, + "loss/hidden": 4.04375, + "loss/jsd": 0.0, + "loss/logits": 0.2781111396849155, + "step": 1620 + }, + { + "epoch": 0.163, + "grad_norm": 52.75, + "grad_norm_var": 437.49583333333334, + "learning_rate": 0.0001, + "loss": 9.4572, + "loss/crossentropy": 2.382322034239769, + "loss/hidden": 4.07734375, + "loss/jsd": 0.0, + "loss/logits": 0.31318275928497313, + "step": 1630 + }, + { + "epoch": 0.164, + "grad_norm": 61.0, + "grad_norm_var": 40.301822916666666, + "learning_rate": 0.0001, + "loss": 9.2668, + "loss/crossentropy": 2.1683703124523164, + "loss/hidden": 4.07578125, + "loss/jsd": 0.0, + "loss/logits": 0.283413190767169, + "step": 1640 + }, + { + "epoch": 0.165, + "grad_norm": 42.75, + "grad_norm_var": 57.307291666666664, + "learning_rate": 0.0001, + "loss": 9.339, + "loss/crossentropy": 2.3430400043725967, + "loss/hidden": 4.036328125, + "loss/jsd": 0.0, + "loss/logits": 0.287694800645113, + "step": 1650 + }, + { + "epoch": 0.166, + "grad_norm": 46.75, + "grad_norm_var": 65.52395833333334, + "learning_rate": 0.0001, + "loss": 9.3768, + "loss/crossentropy": 2.2867416352033616, + "loss/hidden": 4.017578125, + "loss/jsd": 0.0, + "loss/logits": 0.29683431759476664, + "step": 1660 + }, + { + "epoch": 0.167, + "grad_norm": 52.5, + "grad_norm_var": 61.18932291666667, + "learning_rate": 0.0001, + "loss": 9.2451, + "loss/crossentropy": 2.3707614041864873, + "loss/hidden": 4.06015625, + "loss/jsd": 0.0, + "loss/logits": 0.29184688804671166, + "step": 1670 + }, + { + "epoch": 0.168, + "grad_norm": 51.75, + "grad_norm_var": 20.895572916666666, + "learning_rate": 0.0001, + "loss": 9.3601, + "loss/crossentropy": 2.3268392831087112, + "loss/hidden": 4.12734375, + "loss/jsd": 0.0, + "loss/logits": 0.29570323824882505, + "step": 1680 + }, + { + "epoch": 0.169, + "grad_norm": 44.0, + "grad_norm_var": 10.290625, + "learning_rate": 0.0001, + "loss": 9.4214, + "loss/crossentropy": 2.324131193757057, + "loss/hidden": 4.1984375, + "loss/jsd": 0.0, + "loss/logits": 0.3133995305746794, + "step": 1690 + }, + { + "epoch": 0.17, + "grad_norm": 58.25, + "grad_norm_var": 19.124739583333334, + "learning_rate": 0.0001, + "loss": 9.2465, + "loss/crossentropy": 2.35849623978138, + "loss/hidden": 4.00703125, + "loss/jsd": 0.0, + "loss/logits": 0.2762619823217392, + "step": 1700 + }, + { + "epoch": 0.171, + "grad_norm": 45.75, + "grad_norm_var": 53.89895833333333, + "learning_rate": 0.0001, + "loss": 9.1951, + "loss/crossentropy": 2.3914038598537446, + "loss/hidden": 3.9984375, + "loss/jsd": 0.0, + "loss/logits": 0.2871177852153778, + "step": 1710 + }, + { + "epoch": 0.172, + "grad_norm": 43.25, + "grad_norm_var": 16.479166666666668, + "learning_rate": 0.0001, + "loss": 9.1669, + "loss/crossentropy": 2.152750685811043, + "loss/hidden": 4.100390625, + "loss/jsd": 0.0, + "loss/logits": 0.28708020225167274, + "step": 1720 + }, + { + "epoch": 0.173, + "grad_norm": 49.25, + "grad_norm_var": 13.45390625, + "learning_rate": 0.0001, + "loss": 9.1015, + "loss/crossentropy": 2.2946193665266037, + "loss/hidden": 4.085546875, + "loss/jsd": 0.0, + "loss/logits": 0.3062314610928297, + "step": 1730 + }, + { + "epoch": 0.174, + "grad_norm": 46.5, + "grad_norm_var": 22.473958333333332, + "learning_rate": 0.0001, + "loss": 9.1287, + "loss/crossentropy": 2.1538643553853034, + "loss/hidden": 3.9421875, + "loss/jsd": 0.0, + "loss/logits": 0.2666194221004844, + "step": 1740 + }, + { + "epoch": 0.175, + "grad_norm": 47.0, + "grad_norm_var": 32.62057291666667, + "learning_rate": 0.0001, + "loss": 9.411, + "loss/crossentropy": 2.387891933321953, + "loss/hidden": 4.14921875, + "loss/jsd": 0.0, + "loss/logits": 0.29542505368590355, + "step": 1750 + }, + { + "epoch": 0.176, + "grad_norm": 45.25, + "grad_norm_var": 26.92265625, + "learning_rate": 0.0001, + "loss": 9.2833, + "loss/crossentropy": 2.3024097591638566, + "loss/hidden": 4.03984375, + "loss/jsd": 0.0, + "loss/logits": 0.29066667445003985, + "step": 1760 + }, + { + "epoch": 0.177, + "grad_norm": 53.5, + "grad_norm_var": 17.832291666666666, + "learning_rate": 0.0001, + "loss": 9.2665, + "loss/crossentropy": 2.4454205125570296, + "loss/hidden": 3.955859375, + "loss/jsd": 0.0, + "loss/logits": 0.2910691563040018, + "step": 1770 + }, + { + "epoch": 0.178, + "grad_norm": 42.25, + "grad_norm_var": 29.865625, + "learning_rate": 0.0001, + "loss": 9.1701, + "loss/crossentropy": 2.2966391056776048, + "loss/hidden": 4.027734375, + "loss/jsd": 0.0, + "loss/logits": 0.2789210833609104, + "step": 1780 + }, + { + "epoch": 0.179, + "grad_norm": 48.25, + "grad_norm_var": 17.548958333333335, + "learning_rate": 0.0001, + "loss": 9.1992, + "loss/crossentropy": 2.395502945780754, + "loss/hidden": 3.934765625, + "loss/jsd": 0.0, + "loss/logits": 0.2776679117232561, + "step": 1790 + }, + { + "epoch": 0.18, + "grad_norm": 40.75, + "grad_norm_var": 13.282291666666667, + "learning_rate": 0.0001, + "loss": 9.1046, + "loss/crossentropy": 2.22285817861557, + "loss/hidden": 3.9046875, + "loss/jsd": 0.0, + "loss/logits": 0.26667180880904195, + "step": 1800 + }, + { + "epoch": 0.181, + "grad_norm": 36.25, + "grad_norm_var": 34.90807291666667, + "learning_rate": 0.0001, + "loss": 9.3204, + "loss/crossentropy": 2.3842350512743, + "loss/hidden": 4.009375, + "loss/jsd": 0.0, + "loss/logits": 0.300260554254055, + "step": 1810 + }, + { + "epoch": 0.182, + "grad_norm": 46.75, + "grad_norm_var": 27.77890625, + "learning_rate": 0.0001, + "loss": 9.0943, + "loss/crossentropy": 2.274762773513794, + "loss/hidden": 4.01328125, + "loss/jsd": 0.0, + "loss/logits": 0.28360783979296683, + "step": 1820 + }, + { + "epoch": 0.183, + "grad_norm": 55.5, + "grad_norm_var": 27.298958333333335, + "learning_rate": 0.0001, + "loss": 9.1699, + "loss/crossentropy": 2.1643219627439976, + "loss/hidden": 3.9921875, + "loss/jsd": 0.0, + "loss/logits": 0.267458438500762, + "step": 1830 + }, + { + "epoch": 0.184, + "grad_norm": 49.75, + "grad_norm_var": 43.94583333333333, + "learning_rate": 0.0001, + "loss": 9.3022, + "loss/crossentropy": 2.464679929614067, + "loss/hidden": 3.9546875, + "loss/jsd": 0.0, + "loss/logits": 0.29758369028568266, + "step": 1840 + }, + { + "epoch": 0.185, + "grad_norm": 51.0, + "grad_norm_var": 37.90807291666667, + "learning_rate": 0.0001, + "loss": 9.1863, + "loss/crossentropy": 2.3199010998010636, + "loss/hidden": 3.99453125, + "loss/jsd": 0.0, + "loss/logits": 0.27702242247760295, + "step": 1850 + }, + { + "epoch": 0.186, + "grad_norm": 46.5, + "grad_norm_var": 40.920833333333334, + "learning_rate": 0.0001, + "loss": 9.2872, + "loss/crossentropy": 2.4041683062911035, + "loss/hidden": 4.09140625, + "loss/jsd": 0.0, + "loss/logits": 0.30005627647042277, + "step": 1860 + }, + { + "epoch": 0.187, + "grad_norm": 39.75, + "grad_norm_var": 40.723958333333336, + "learning_rate": 0.0001, + "loss": 9.1081, + "loss/crossentropy": 2.273802790045738, + "loss/hidden": 4.175, + "loss/jsd": 0.0, + "loss/logits": 0.3045934235677123, + "step": 1870 + }, + { + "epoch": 0.188, + "grad_norm": 43.25, + "grad_norm_var": 33.35729166666667, + "learning_rate": 0.0001, + "loss": 9.106, + "loss/crossentropy": 2.3607766672968866, + "loss/hidden": 3.9765625, + "loss/jsd": 0.0, + "loss/logits": 0.28193066976964476, + "step": 1880 + }, + { + "epoch": 0.189, + "grad_norm": 48.25, + "grad_norm_var": 14.915625, + "learning_rate": 0.0001, + "loss": 9.1437, + "loss/crossentropy": 2.2798361241817475, + "loss/hidden": 3.9890625, + "loss/jsd": 0.0, + "loss/logits": 0.2721746701747179, + "step": 1890 + }, + { + "epoch": 0.19, + "grad_norm": 44.0, + "grad_norm_var": 21.223958333333332, + "learning_rate": 0.0001, + "loss": 9.0972, + "loss/crossentropy": 2.21695294380188, + "loss/hidden": 4.0015625, + "loss/jsd": 0.0, + "loss/logits": 0.2832322970032692, + "step": 1900 + }, + { + "epoch": 0.191, + "grad_norm": 39.5, + "grad_norm_var": 27.808333333333334, + "learning_rate": 0.0001, + "loss": 9.1587, + "loss/crossentropy": 2.1728454776108266, + "loss/hidden": 3.98828125, + "loss/jsd": 0.0, + "loss/logits": 0.27170457877218723, + "step": 1910 + }, + { + "epoch": 0.192, + "grad_norm": 41.75, + "grad_norm_var": 13.315625, + "learning_rate": 0.0001, + "loss": 9.1326, + "loss/crossentropy": 2.154237084835768, + "loss/hidden": 4.063671875, + "loss/jsd": 0.0, + "loss/logits": 0.27950075305998323, + "step": 1920 + }, + { + "epoch": 0.193, + "grad_norm": 43.0, + "grad_norm_var": 25.240625, + "learning_rate": 0.0001, + "loss": 9.1013, + "loss/crossentropy": 2.2507698431611063, + "loss/hidden": 4.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.2808088269084692, + "step": 1930 + }, + { + "epoch": 0.194, + "grad_norm": 49.25, + "grad_norm_var": 22.832291666666666, + "learning_rate": 0.0001, + "loss": 9.2429, + "loss/crossentropy": 2.288056728243828, + "loss/hidden": 4.1546875, + "loss/jsd": 0.0, + "loss/logits": 0.31668607220053674, + "step": 1940 + }, + { + "epoch": 0.195, + "grad_norm": 48.5, + "grad_norm_var": 58.09557291666667, + "learning_rate": 0.0001, + "loss": 9.1742, + "loss/crossentropy": 2.2107961744070055, + "loss/hidden": 4.05078125, + "loss/jsd": 0.0, + "loss/logits": 0.2858551822602749, + "step": 1950 + }, + { + "epoch": 0.196, + "grad_norm": 39.25, + "grad_norm_var": 49.50390625, + "learning_rate": 0.0001, + "loss": 9.1293, + "loss/crossentropy": 2.224529256671667, + "loss/hidden": 3.9703125, + "loss/jsd": 0.0, + "loss/logits": 0.27973891496658326, + "step": 1960 + }, + { + "epoch": 0.197, + "grad_norm": 39.25, + "grad_norm_var": 13.890625, + "learning_rate": 0.0001, + "loss": 9.0689, + "loss/crossentropy": 2.363737019896507, + "loss/hidden": 4.027734375, + "loss/jsd": 0.0, + "loss/logits": 0.2919711694121361, + "step": 1970 + }, + { + "epoch": 0.198, + "grad_norm": 55.75, + "grad_norm_var": 26.655989583333334, + "learning_rate": 0.0001, + "loss": 9.2228, + "loss/crossentropy": 2.3380469545722007, + "loss/hidden": 4.0171875, + "loss/jsd": 0.0, + "loss/logits": 0.28581551983952524, + "step": 1980 + }, + { + "epoch": 0.199, + "grad_norm": 45.0, + "grad_norm_var": 27.357291666666665, + "learning_rate": 0.0001, + "loss": 9.173, + "loss/crossentropy": 2.43135461807251, + "loss/hidden": 3.970703125, + "loss/jsd": 0.0, + "loss/logits": 0.28222124874591825, + "step": 1990 + }, + { + "epoch": 0.2, + "grad_norm": 44.5, + "grad_norm_var": 16.04140625, + "learning_rate": 0.0001, + "loss": 9.1554, + "loss/crossentropy": 2.4415812104940415, + "loss/hidden": 4.064453125, + "loss/jsd": 0.0, + "loss/logits": 0.2984179027378559, + "step": 2000 + }, + { + "epoch": 0.201, + "grad_norm": 51.75, + "grad_norm_var": 18.032291666666666, + "learning_rate": 0.0001, + "loss": 9.204, + "loss/crossentropy": 2.571503698825836, + "loss/hidden": 4.020703125, + "loss/jsd": 0.0, + "loss/logits": 0.3065837759524584, + "step": 2010 + }, + { + "epoch": 0.202, + "grad_norm": 42.25, + "grad_norm_var": 16.573958333333334, + "learning_rate": 0.0001, + "loss": 9.1575, + "loss/crossentropy": 2.2947281152009964, + "loss/hidden": 3.949609375, + "loss/jsd": 0.0, + "loss/logits": 0.28560531958937646, + "step": 2020 + }, + { + "epoch": 0.203, + "grad_norm": 43.0, + "grad_norm_var": 10.068489583333333, + "learning_rate": 0.0001, + "loss": 9.1347, + "loss/crossentropy": 2.432750529050827, + "loss/hidden": 3.9953125, + "loss/jsd": 0.0, + "loss/logits": 0.28870879150927065, + "step": 2030 + }, + { + "epoch": 0.204, + "grad_norm": 45.0, + "grad_norm_var": 14.683333333333334, + "learning_rate": 0.0001, + "loss": 9.0302, + "loss/crossentropy": 2.291880601644516, + "loss/hidden": 3.852734375, + "loss/jsd": 0.0, + "loss/logits": 0.27138952538371086, + "step": 2040 + }, + { + "epoch": 0.205, + "grad_norm": 54.5, + "grad_norm_var": 24.0625, + "learning_rate": 0.0001, + "loss": 9.1623, + "loss/crossentropy": 2.1033009082078933, + "loss/hidden": 4.074609375, + "loss/jsd": 0.0, + "loss/logits": 0.29145455472171305, + "step": 2050 + }, + { + "epoch": 0.206, + "grad_norm": 42.25, + "grad_norm_var": 29.780989583333334, + "learning_rate": 0.0001, + "loss": 9.1409, + "loss/crossentropy": 2.3487906470894813, + "loss/hidden": 3.9140625, + "loss/jsd": 0.0, + "loss/logits": 0.2789519714191556, + "step": 2060 + }, + { + "epoch": 0.207, + "grad_norm": 42.0, + "grad_norm_var": 15.395572916666667, + "learning_rate": 0.0001, + "loss": 9.0027, + "loss/crossentropy": 2.210711918771267, + "loss/hidden": 3.975, + "loss/jsd": 0.0, + "loss/logits": 0.2679262701421976, + "step": 2070 + }, + { + "epoch": 0.208, + "grad_norm": 43.5, + "grad_norm_var": 12.7125, + "learning_rate": 0.0001, + "loss": 9.0306, + "loss/crossentropy": 2.1945893600583077, + "loss/hidden": 3.948046875, + "loss/jsd": 0.0, + "loss/logits": 0.28115708455443383, + "step": 2080 + }, + { + "epoch": 0.209, + "grad_norm": 47.0, + "grad_norm_var": 28.683072916666667, + "learning_rate": 0.0001, + "loss": 9.1344, + "loss/crossentropy": 2.237662248313427, + "loss/hidden": 4.035546875, + "loss/jsd": 0.0, + "loss/logits": 0.2781697390601039, + "step": 2090 + }, + { + "epoch": 0.21, + "grad_norm": 42.0, + "grad_norm_var": 15.390625, + "learning_rate": 0.0001, + "loss": 9.0004, + "loss/crossentropy": 2.269840542972088, + "loss/hidden": 3.9765625, + "loss/jsd": 0.0, + "loss/logits": 0.29009242728352547, + "step": 2100 + }, + { + "epoch": 0.211, + "grad_norm": 39.75, + "grad_norm_var": 8.10390625, + "learning_rate": 0.0001, + "loss": 9.0135, + "loss/crossentropy": 2.3315619856119154, + "loss/hidden": 4.028515625, + "loss/jsd": 0.0, + "loss/logits": 0.27684418186545373, + "step": 2110 + }, + { + "epoch": 0.212, + "grad_norm": 45.75, + "grad_norm_var": 115.615625, + "learning_rate": 0.0001, + "loss": 9.2092, + "loss/crossentropy": 2.4081921339035035, + "loss/hidden": 4.01171875, + "loss/jsd": 0.0, + "loss/logits": 0.29490497298538687, + "step": 2120 + }, + { + "epoch": 0.213, + "grad_norm": 43.0, + "grad_norm_var": 95.76432291666667, + "learning_rate": 0.0001, + "loss": 9.1058, + "loss/crossentropy": 2.393023744225502, + "loss/hidden": 3.94921875, + "loss/jsd": 0.0, + "loss/logits": 0.2818208742886782, + "step": 2130 + }, + { + "epoch": 0.214, + "grad_norm": 39.5, + "grad_norm_var": 13.873958333333333, + "learning_rate": 0.0001, + "loss": 9.0997, + "loss/crossentropy": 2.1606352396309374, + "loss/hidden": 3.843359375, + "loss/jsd": 0.0, + "loss/logits": 0.25883881878107784, + "step": 2140 + }, + { + "epoch": 0.215, + "grad_norm": 44.0, + "grad_norm_var": 22.845572916666665, + "learning_rate": 0.0001, + "loss": 9.1464, + "loss/crossentropy": 2.179043120145798, + "loss/hidden": 4.056640625, + "loss/jsd": 0.0, + "loss/logits": 0.2761132620275021, + "step": 2150 + }, + { + "epoch": 0.216, + "grad_norm": 46.5, + "grad_norm_var": 28.957291666666666, + "learning_rate": 0.0001, + "loss": 9.1057, + "loss/crossentropy": 2.301611530780792, + "loss/hidden": 3.959375, + "loss/jsd": 0.0, + "loss/logits": 0.29443784058094025, + "step": 2160 + }, + { + "epoch": 0.217, + "grad_norm": 46.25, + "grad_norm_var": 36.708333333333336, + "learning_rate": 0.0001, + "loss": 9.0952, + "loss/crossentropy": 2.3569841012358665, + "loss/hidden": 3.994921875, + "loss/jsd": 0.0, + "loss/logits": 0.28191804718226193, + "step": 2170 + }, + { + "epoch": 0.218, + "grad_norm": 81.5, + "grad_norm_var": 117.24895833333333, + "learning_rate": 0.0001, + "loss": 9.0595, + "loss/crossentropy": 2.4225870154798033, + "loss/hidden": 3.953125, + "loss/jsd": 0.0, + "loss/logits": 0.2870227605104446, + "step": 2180 + }, + { + "epoch": 0.219, + "grad_norm": 36.75, + "grad_norm_var": 173.97265625, + "learning_rate": 0.0001, + "loss": 9.1612, + "loss/crossentropy": 2.34947164952755, + "loss/hidden": 4.0546875, + "loss/jsd": 0.0, + "loss/logits": 0.2929512483999133, + "step": 2190 + }, + { + "epoch": 0.22, + "grad_norm": 41.75, + "grad_norm_var": 31.648958333333333, + "learning_rate": 0.0001, + "loss": 9.101, + "loss/crossentropy": 2.218617644906044, + "loss/hidden": 4.029296875, + "loss/jsd": 0.0, + "loss/logits": 0.2752823047339916, + "step": 2200 + }, + { + "epoch": 0.221, + "grad_norm": 47.0, + "grad_norm_var": 10.50390625, + "learning_rate": 0.0001, + "loss": 9.0496, + "loss/crossentropy": 2.4772594451904295, + "loss/hidden": 3.96953125, + "loss/jsd": 0.0, + "loss/logits": 0.28055914528667925, + "step": 2210 + }, + { + "epoch": 0.222, + "grad_norm": 49.5, + "grad_norm_var": 442.3, + "learning_rate": 0.0001, + "loss": 8.9647, + "loss/crossentropy": 2.44835202395916, + "loss/hidden": 3.905859375, + "loss/jsd": 0.0, + "loss/logits": 0.27223448157310487, + "step": 2220 + }, + { + "epoch": 0.223, + "grad_norm": 35.25, + "grad_norm_var": 577.0458333333333, + "learning_rate": 0.0001, + "loss": 9.1287, + "loss/crossentropy": 2.2784701570868493, + "loss/hidden": 3.98671875, + "loss/jsd": 0.0, + "loss/logits": 0.28111674822866917, + "step": 2230 + }, + { + "epoch": 0.224, + "grad_norm": 43.75, + "grad_norm_var": 212.74348958333334, + "learning_rate": 0.0001, + "loss": 9.1339, + "loss/crossentropy": 2.2536803498864173, + "loss/hidden": 3.934375, + "loss/jsd": 0.0, + "loss/logits": 0.27366876490414144, + "step": 2240 + }, + { + "epoch": 0.225, + "grad_norm": 42.5, + "grad_norm_var": 30.143489583333334, + "learning_rate": 0.0001, + "loss": 9.0536, + "loss/crossentropy": 2.300386372208595, + "loss/hidden": 3.937890625, + "loss/jsd": 0.0, + "loss/logits": 0.2872367199510336, + "step": 2250 + }, + { + "epoch": 0.226, + "grad_norm": 40.75, + "grad_norm_var": 19.65390625, + "learning_rate": 0.0001, + "loss": 9.0113, + "loss/crossentropy": 2.318666061758995, + "loss/hidden": 3.8796875, + "loss/jsd": 0.0, + "loss/logits": 0.259370943903923, + "step": 2260 + }, + { + "epoch": 0.227, + "grad_norm": 43.75, + "grad_norm_var": 12.46015625, + "learning_rate": 0.0001, + "loss": 8.9343, + "loss/crossentropy": 2.169833867251873, + "loss/hidden": 3.8984375, + "loss/jsd": 0.0, + "loss/logits": 0.26568643413484094, + "step": 2270 + }, + { + "epoch": 0.228, + "grad_norm": 38.75, + "grad_norm_var": 11.832291666666666, + "learning_rate": 0.0001, + "loss": 9.0042, + "loss/crossentropy": 2.1532950207591055, + "loss/hidden": 3.987890625, + "loss/jsd": 0.0, + "loss/logits": 0.2669289981946349, + "step": 2280 + }, + { + "epoch": 0.229, + "grad_norm": 46.5, + "grad_norm_var": 13.432291666666666, + "learning_rate": 0.0001, + "loss": 9.1282, + "loss/crossentropy": 2.0724870592355726, + "loss/hidden": 4.09765625, + "loss/jsd": 0.0, + "loss/logits": 0.27939337231218814, + "step": 2290 + }, + { + "epoch": 0.23, + "grad_norm": 35.75, + "grad_norm_var": 223.3875, + "learning_rate": 0.0001, + "loss": 9.1656, + "loss/crossentropy": 2.4021882474422456, + "loss/hidden": 3.941796875, + "loss/jsd": 0.0, + "loss/logits": 0.28748833425343034, + "step": 2300 + }, + { + "epoch": 0.231, + "grad_norm": 40.5, + "grad_norm_var": 264.82395833333334, + "learning_rate": 0.0001, + "loss": 8.9421, + "loss/crossentropy": 2.201041653752327, + "loss/hidden": 4.012109375, + "loss/jsd": 0.0, + "loss/logits": 0.29431225806474687, + "step": 2310 + }, + { + "epoch": 0.232, + "grad_norm": 37.25, + "grad_norm_var": 14.939322916666667, + "learning_rate": 0.0001, + "loss": 9.0761, + "loss/crossentropy": 2.156717260926962, + "loss/hidden": 4.16484375, + "loss/jsd": 0.0, + "loss/logits": 0.27824588380753995, + "step": 2320 + }, + { + "epoch": 0.233, + "grad_norm": 44.0, + "grad_norm_var": 66.07890625, + "learning_rate": 0.0001, + "loss": 9.1021, + "loss/crossentropy": 2.3962995454669, + "loss/hidden": 3.849609375, + "loss/jsd": 0.0, + "loss/logits": 0.27611064203083513, + "step": 2330 + }, + { + "epoch": 0.234, + "grad_norm": 37.5, + "grad_norm_var": 2.5671221192004644e+18, + "learning_rate": 0.0001, + "loss": 9.1022, + "loss/crossentropy": 2.302082321047783, + "loss/hidden": 3.980859375, + "loss/jsd": 0.0, + "loss/logits": 0.2941384054720402, + "step": 2340 + }, + { + "epoch": 0.235, + "grad_norm": 42.75, + "grad_norm_var": 49.62473958333333, + "learning_rate": 0.0001, + "loss": 8.7886, + "loss/crossentropy": 2.239869697391987, + "loss/hidden": 3.977734375, + "loss/jsd": 0.0, + "loss/logits": 0.25684802830219267, + "step": 2350 + }, + { + "epoch": 0.236, + "grad_norm": 39.5, + "grad_norm_var": 10.540625, + "learning_rate": 0.0001, + "loss": 8.8748, + "loss/crossentropy": 2.2847611531615257, + "loss/hidden": 4.076171875, + "loss/jsd": 0.0, + "loss/logits": 0.2846489936113358, + "step": 2360 + }, + { + "epoch": 0.237, + "grad_norm": 44.25, + "grad_norm_var": 33.15416666666667, + "learning_rate": 0.0001, + "loss": 8.8811, + "loss/crossentropy": 2.209371344745159, + "loss/hidden": 3.907421875, + "loss/jsd": 0.0, + "loss/logits": 0.2737090703099966, + "step": 2370 + }, + { + "epoch": 0.238, + "grad_norm": 42.0, + "grad_norm_var": 58.614322916666666, + "learning_rate": 0.0001, + "loss": 9.0391, + "loss/crossentropy": 2.381209687888622, + "loss/hidden": 3.9296875, + "loss/jsd": 0.0, + "loss/logits": 0.2849856551736593, + "step": 2380 + }, + { + "epoch": 0.239, + "grad_norm": 39.75, + "grad_norm_var": 17.541666666666668, + "learning_rate": 0.0001, + "loss": 9.1216, + "loss/crossentropy": 2.2550544410943987, + "loss/hidden": 4.000390625, + "loss/jsd": 0.0, + "loss/logits": 0.2924022350460291, + "step": 2390 + }, + { + "epoch": 0.24, + "grad_norm": 46.25, + "grad_norm_var": 18.491666666666667, + "learning_rate": 0.0001, + "loss": 8.9833, + "loss/crossentropy": 2.2908297032117844, + "loss/hidden": 3.901953125, + "loss/jsd": 0.0, + "loss/logits": 0.26052255779504774, + "step": 2400 + }, + { + "epoch": 0.241, + "grad_norm": 38.25, + "grad_norm_var": 23.640625, + "learning_rate": 0.0001, + "loss": 9.1123, + "loss/crossentropy": 2.3713207334280013, + "loss/hidden": 3.988671875, + "loss/jsd": 0.0, + "loss/logits": 0.2721697688102722, + "step": 2410 + }, + { + "epoch": 0.242, + "grad_norm": 42.5, + "grad_norm_var": 69.77473958333333, + "learning_rate": 0.0001, + "loss": 8.9108, + "loss/crossentropy": 2.0408870808780195, + "loss/hidden": 3.873046875, + "loss/jsd": 0.0, + "loss/logits": 0.24748602956533433, + "step": 2420 + }, + { + "epoch": 0.243, + "grad_norm": 37.25, + "grad_norm_var": 72.11015625, + "learning_rate": 0.0001, + "loss": 9.0111, + "loss/crossentropy": 2.3027436569333077, + "loss/hidden": 3.908984375, + "loss/jsd": 0.0, + "loss/logits": 0.27137077748775484, + "step": 2430 + }, + { + "epoch": 0.244, + "grad_norm": 54.75, + "grad_norm_var": 55.057291666666664, + "learning_rate": 0.0001, + "loss": 9.0763, + "loss/crossentropy": 2.2573105663061144, + "loss/hidden": 4.1703125, + "loss/jsd": 0.0, + "loss/logits": 0.3013453852385283, + "step": 2440 + }, + { + "epoch": 0.245, + "grad_norm": 39.25, + "grad_norm_var": 50.00416666666667, + "learning_rate": 0.0001, + "loss": 9.0658, + "loss/crossentropy": 2.4534697026014327, + "loss/hidden": 4.172265625, + "loss/jsd": 0.0, + "loss/logits": 0.2898527968674898, + "step": 2450 + }, + { + "epoch": 0.246, + "grad_norm": 40.75, + "grad_norm_var": 18.71640625, + "learning_rate": 0.0001, + "loss": 8.9953, + "loss/crossentropy": 2.357613870501518, + "loss/hidden": 3.9125, + "loss/jsd": 0.0, + "loss/logits": 0.27832051999866964, + "step": 2460 + }, + { + "epoch": 0.247, + "grad_norm": 34.0, + "grad_norm_var": 14.832291666666666, + "learning_rate": 0.0001, + "loss": 8.9576, + "loss/crossentropy": 2.295011055469513, + "loss/hidden": 4.029296875, + "loss/jsd": 0.0, + "loss/logits": 0.29190085306763647, + "step": 2470 + }, + { + "epoch": 0.248, + "grad_norm": 50.75, + "grad_norm_var": 24.075, + "learning_rate": 0.0001, + "loss": 8.7866, + "loss/crossentropy": 2.2598410531878472, + "loss/hidden": 3.84921875, + "loss/jsd": 0.0, + "loss/logits": 0.2570509884506464, + "step": 2480 + }, + { + "epoch": 0.249, + "grad_norm": 38.0, + "grad_norm_var": 97.60416666666667, + "learning_rate": 0.0001, + "loss": 9.0289, + "loss/crossentropy": 2.365708181262016, + "loss/hidden": 3.835546875, + "loss/jsd": 0.0, + "loss/logits": 0.2712419513612986, + "step": 2490 + }, + { + "epoch": 0.25, + "grad_norm": 44.5, + "grad_norm_var": 104.10729166666667, + "learning_rate": 0.0001, + "loss": 8.8744, + "loss/crossentropy": 2.063434064388275, + "loss/hidden": 3.873046875, + "loss/jsd": 0.0, + "loss/logits": 0.2460779383778572, + "step": 2500 + }, + { + "epoch": 0.251, + "grad_norm": 41.75, + "grad_norm_var": 28.974739583333335, + "learning_rate": 0.0001, + "loss": 8.9272, + "loss/crossentropy": 2.2377428650856017, + "loss/hidden": 3.968359375, + "loss/jsd": 0.0, + "loss/logits": 0.26241020299494267, + "step": 2510 + }, + { + "epoch": 0.252, + "grad_norm": 43.5, + "grad_norm_var": 20.84140625, + "learning_rate": 0.0001, + "loss": 8.9773, + "loss/crossentropy": 2.2245729833841326, + "loss/hidden": 3.854296875, + "loss/jsd": 0.0, + "loss/logits": 0.2788569286465645, + "step": 2520 + }, + { + "epoch": 0.253, + "grad_norm": 37.25, + "grad_norm_var": 10.36640625, + "learning_rate": 0.0001, + "loss": 8.8657, + "loss/crossentropy": 2.19287933409214, + "loss/hidden": 3.873046875, + "loss/jsd": 0.0, + "loss/logits": 0.2571034274995327, + "step": 2530 + }, + { + "epoch": 0.254, + "grad_norm": 42.75, + "grad_norm_var": 25.641666666666666, + "learning_rate": 0.0001, + "loss": 9.0621, + "loss/crossentropy": 2.344786374270916, + "loss/hidden": 4.005078125, + "loss/jsd": 0.0, + "loss/logits": 0.29999860040843485, + "step": 2540 + }, + { + "epoch": 0.255, + "grad_norm": 45.25, + "grad_norm_var": 28.983333333333334, + "learning_rate": 0.0001, + "loss": 8.8825, + "loss/crossentropy": 2.165843137353659, + "loss/hidden": 3.794921875, + "loss/jsd": 0.0, + "loss/logits": 0.24595264531672, + "step": 2550 + }, + { + "epoch": 0.256, + "grad_norm": 44.0, + "grad_norm_var": 13.407291666666667, + "learning_rate": 0.0001, + "loss": 8.9041, + "loss/crossentropy": 2.3431010633707046, + "loss/hidden": 3.880859375, + "loss/jsd": 0.0, + "loss/logits": 0.27991249822080133, + "step": 2560 + }, + { + "epoch": 0.257, + "grad_norm": 49.25, + "grad_norm_var": 19.137239583333333, + "learning_rate": 0.0001, + "loss": 8.7585, + "loss/crossentropy": 2.2741693764925004, + "loss/hidden": 3.848046875, + "loss/jsd": 0.0, + "loss/logits": 0.2573831077665091, + "step": 2570 + }, + { + "epoch": 0.258, + "grad_norm": 40.75, + "grad_norm_var": 23.523958333333333, + "learning_rate": 0.0001, + "loss": 9.0385, + "loss/crossentropy": 2.3741003662347793, + "loss/hidden": 3.9703125, + "loss/jsd": 0.0, + "loss/logits": 0.3021115079522133, + "step": 2580 + }, + { + "epoch": 0.259, + "grad_norm": 38.5, + "grad_norm_var": 20.873958333333334, + "learning_rate": 0.0001, + "loss": 8.8554, + "loss/crossentropy": 2.259954023361206, + "loss/hidden": 3.92734375, + "loss/jsd": 0.0, + "loss/logits": 0.2688195243477821, + "step": 2590 + }, + { + "epoch": 0.26, + "grad_norm": 33.25, + "grad_norm_var": 16.76015625, + "learning_rate": 0.0001, + "loss": 8.8802, + "loss/crossentropy": 2.155090569704771, + "loss/hidden": 3.91796875, + "loss/jsd": 0.0, + "loss/logits": 0.256628708448261, + "step": 2600 + }, + { + "epoch": 0.261, + "grad_norm": 41.5, + "grad_norm_var": 15.032291666666667, + "learning_rate": 0.0001, + "loss": 9.0016, + "loss/crossentropy": 2.365834577381611, + "loss/hidden": 3.85859375, + "loss/jsd": 0.0, + "loss/logits": 0.27286841757595537, + "step": 2610 + }, + { + "epoch": 0.262, + "grad_norm": 41.75, + "grad_norm_var": 9.50390625, + "learning_rate": 0.0001, + "loss": 8.8993, + "loss/crossentropy": 2.137889374792576, + "loss/hidden": 3.96171875, + "loss/jsd": 0.0, + "loss/logits": 0.27018810212612154, + "step": 2620 + }, + { + "epoch": 0.263, + "grad_norm": 44.75, + "grad_norm_var": 12.58515625, + "learning_rate": 0.0001, + "loss": 8.9333, + "loss/crossentropy": 2.279120808839798, + "loss/hidden": 3.8859375, + "loss/jsd": 0.0, + "loss/logits": 0.26760734505951406, + "step": 2630 + }, + { + "epoch": 0.264, + "grad_norm": 33.75, + "grad_norm_var": 20.205989583333334, + "learning_rate": 0.0001, + "loss": 8.998, + "loss/crossentropy": 2.133891487121582, + "loss/hidden": 3.978125, + "loss/jsd": 0.0, + "loss/logits": 0.2548325901851058, + "step": 2640 + }, + { + "epoch": 0.265, + "grad_norm": 38.25, + "grad_norm_var": 24.26640625, + "learning_rate": 0.0001, + "loss": 8.8773, + "loss/crossentropy": 2.0680222399532795, + "loss/hidden": 3.983984375, + "loss/jsd": 0.0, + "loss/logits": 0.2616095909848809, + "step": 2650 + }, + { + "epoch": 0.266, + "grad_norm": 37.75, + "grad_norm_var": 24.65390625, + "learning_rate": 0.0001, + "loss": 8.8787, + "loss/crossentropy": 2.2427713751792906, + "loss/hidden": 3.976171875, + "loss/jsd": 0.0, + "loss/logits": 0.2840047996491194, + "step": 2660 + }, + { + "epoch": 0.267, + "grad_norm": 50.0, + "grad_norm_var": 22.190625, + "learning_rate": 0.0001, + "loss": 8.878, + "loss/crossentropy": 2.3332558259367944, + "loss/hidden": 3.774609375, + "loss/jsd": 0.0, + "loss/logits": 0.2527316328138113, + "step": 2670 + }, + { + "epoch": 0.268, + "grad_norm": 58.5, + "grad_norm_var": 53.95, + "learning_rate": 0.0001, + "loss": 8.8498, + "loss/crossentropy": 2.116853891313076, + "loss/hidden": 3.810546875, + "loss/jsd": 0.0, + "loss/logits": 0.24547674022614957, + "step": 2680 + }, + { + "epoch": 0.269, + "grad_norm": 37.5, + "grad_norm_var": 48.47057291666667, + "learning_rate": 0.0001, + "loss": 8.9221, + "loss/crossentropy": 2.468301197886467, + "loss/hidden": 3.809765625, + "loss/jsd": 0.0, + "loss/logits": 0.26750445999205114, + "step": 2690 + }, + { + "epoch": 0.27, + "grad_norm": 46.5, + "grad_norm_var": 16.812239583333334, + "learning_rate": 0.0001, + "loss": 8.7264, + "loss/crossentropy": 2.1068901009857655, + "loss/hidden": 3.970703125, + "loss/jsd": 0.0, + "loss/logits": 0.2827789710834622, + "step": 2700 + }, + { + "epoch": 0.271, + "grad_norm": 41.25, + "grad_norm_var": 17.765625, + "learning_rate": 0.0001, + "loss": 8.766, + "loss/crossentropy": 2.4922314494848252, + "loss/hidden": 3.943359375, + "loss/jsd": 0.0, + "loss/logits": 0.28248917534947393, + "step": 2710 + }, + { + "epoch": 0.272, + "grad_norm": 37.25, + "grad_norm_var": 4.524739583333333, + "learning_rate": 0.0001, + "loss": 8.8324, + "loss/crossentropy": 2.268562327325344, + "loss/hidden": 3.8296875, + "loss/jsd": 0.0, + "loss/logits": 0.250153512135148, + "step": 2720 + }, + { + "epoch": 0.273, + "grad_norm": 38.5, + "grad_norm_var": 11.832291666666666, + "learning_rate": 0.0001, + "loss": 8.8538, + "loss/crossentropy": 2.171993290632963, + "loss/hidden": 3.860546875, + "loss/jsd": 0.0, + "loss/logits": 0.2605165271088481, + "step": 2730 + }, + { + "epoch": 0.274, + "grad_norm": 37.25, + "grad_norm_var": 17.5625, + "learning_rate": 0.0001, + "loss": 8.8625, + "loss/crossentropy": 2.3496526792645454, + "loss/hidden": 3.78828125, + "loss/jsd": 0.0, + "loss/logits": 0.2532901844009757, + "step": 2740 + }, + { + "epoch": 0.275, + "grad_norm": 38.5, + "grad_norm_var": 18.69140625, + "learning_rate": 0.0001, + "loss": 8.8941, + "loss/crossentropy": 2.377558296918869, + "loss/hidden": 3.844921875, + "loss/jsd": 0.0, + "loss/logits": 0.2773334577679634, + "step": 2750 + }, + { + "epoch": 0.276, + "grad_norm": 46.75, + "grad_norm_var": 22.22890625, + "learning_rate": 0.0001, + "loss": 8.7839, + "loss/crossentropy": 2.248410400748253, + "loss/hidden": 3.980078125, + "loss/jsd": 0.0, + "loss/logits": 0.27028046883642676, + "step": 2760 + }, + { + "epoch": 0.277, + "grad_norm": 38.75, + "grad_norm_var": 23.164322916666666, + "learning_rate": 0.0001, + "loss": 8.7791, + "loss/crossentropy": 2.4241216853260994, + "loss/hidden": 3.8984375, + "loss/jsd": 0.0, + "loss/logits": 0.2659046190790832, + "step": 2770 + }, + { + "epoch": 0.278, + "grad_norm": 53.25, + "grad_norm_var": 59.78098958333333, + "learning_rate": 0.0001, + "loss": 8.8019, + "loss/crossentropy": 2.1859550148248674, + "loss/hidden": 3.828515625, + "loss/jsd": 0.0, + "loss/logits": 0.25679499059915545, + "step": 2780 + }, + { + "epoch": 0.279, + "grad_norm": 41.5, + "grad_norm_var": 62.925455729166664, + "learning_rate": 0.0001, + "loss": 8.8086, + "loss/crossentropy": 2.312130589783192, + "loss/hidden": 3.91171875, + "loss/jsd": 0.0, + "loss/logits": 0.2820352425798774, + "step": 2790 + }, + { + "epoch": 0.28, + "grad_norm": 46.75, + "grad_norm_var": 18.951822916666668, + "learning_rate": 0.0001, + "loss": 8.7941, + "loss/crossentropy": 2.258910335600376, + "loss/hidden": 3.902734375, + "loss/jsd": 0.0, + "loss/logits": 0.2627917256206274, + "step": 2800 + }, + { + "epoch": 0.281, + "grad_norm": 40.25, + "grad_norm_var": 17.639322916666668, + "learning_rate": 0.0001, + "loss": 8.7417, + "loss/crossentropy": 2.2589244581758976, + "loss/hidden": 3.753515625, + "loss/jsd": 0.0, + "loss/logits": 0.2513848140835762, + "step": 2810 + }, + { + "epoch": 0.282, + "grad_norm": 40.5, + "grad_norm_var": 12.032291666666667, + "learning_rate": 0.0001, + "loss": 8.8627, + "loss/crossentropy": 2.17684805393219, + "loss/hidden": 3.853125, + "loss/jsd": 0.0, + "loss/logits": 0.255695578455925, + "step": 2820 + }, + { + "epoch": 0.283, + "grad_norm": 40.75, + "grad_norm_var": 114.61432291666667, + "learning_rate": 0.0001, + "loss": 8.8412, + "loss/crossentropy": 2.2954238772392275, + "loss/hidden": 3.918359375, + "loss/jsd": 0.0, + "loss/logits": 0.2858715243637562, + "step": 2830 + }, + { + "epoch": 0.284, + "grad_norm": 40.5, + "grad_norm_var": 5.641666666666667, + "learning_rate": 0.0001, + "loss": 8.9391, + "loss/crossentropy": 2.329847712814808, + "loss/hidden": 3.7625, + "loss/jsd": 0.0, + "loss/logits": 0.25534543097019197, + "step": 2840 + }, + { + "epoch": 0.285, + "grad_norm": 38.5, + "grad_norm_var": 40.84557291666667, + "learning_rate": 0.0001, + "loss": 8.7803, + "loss/crossentropy": 2.2853938594460486, + "loss/hidden": 3.866796875, + "loss/jsd": 0.0, + "loss/logits": 0.24832999743521214, + "step": 2850 + }, + { + "epoch": 0.286, + "grad_norm": 36.75, + "grad_norm_var": 39.958072916666666, + "learning_rate": 0.0001, + "loss": 8.6796, + "loss/crossentropy": 2.234159553050995, + "loss/hidden": 3.847265625, + "loss/jsd": 0.0, + "loss/logits": 0.26201403168961407, + "step": 2860 + }, + { + "epoch": 0.287, + "grad_norm": 39.0, + "grad_norm_var": 9.457291666666666, + "learning_rate": 0.0001, + "loss": 8.7109, + "loss/crossentropy": 2.2819659531116487, + "loss/hidden": 3.894140625, + "loss/jsd": 0.0, + "loss/logits": 0.26489345021545885, + "step": 2870 + }, + { + "epoch": 0.288, + "grad_norm": 37.25, + "grad_norm_var": 9.268489583333333, + "learning_rate": 0.0001, + "loss": 8.828, + "loss/crossentropy": 2.4358034074306487, + "loss/hidden": 3.81328125, + "loss/jsd": 0.0, + "loss/logits": 0.27083273865282537, + "step": 2880 + }, + { + "epoch": 0.289, + "grad_norm": 42.0, + "grad_norm_var": 12.805989583333334, + "learning_rate": 0.0001, + "loss": 8.8211, + "loss/crossentropy": 2.2965500839054585, + "loss/hidden": 3.869921875, + "loss/jsd": 0.0, + "loss/logits": 0.26719480073079466, + "step": 2890 + }, + { + "epoch": 0.29, + "grad_norm": 37.25, + "grad_norm_var": 9.020572916666667, + "learning_rate": 0.0001, + "loss": 8.7927, + "loss/crossentropy": 2.3898714184761047, + "loss/hidden": 3.930078125, + "loss/jsd": 0.0, + "loss/logits": 0.2959909211844206, + "step": 2900 + }, + { + "epoch": 0.291, + "grad_norm": 44.25, + "grad_norm_var": 10.283333333333333, + "learning_rate": 0.0001, + "loss": 8.7893, + "loss/crossentropy": 2.349339473247528, + "loss/hidden": 3.7953125, + "loss/jsd": 0.0, + "loss/logits": 0.25724136754870414, + "step": 2910 + }, + { + "epoch": 0.292, + "grad_norm": 35.5, + "grad_norm_var": 17.418489583333333, + "learning_rate": 0.0001, + "loss": 8.7582, + "loss/crossentropy": 2.1329104267060757, + "loss/hidden": 3.83046875, + "loss/jsd": 0.0, + "loss/logits": 0.2572308249771595, + "step": 2920 + }, + { + "epoch": 0.293, + "grad_norm": 42.0, + "grad_norm_var": 14.87265625, + "learning_rate": 0.0001, + "loss": 8.6388, + "loss/crossentropy": 2.23364320397377, + "loss/hidden": 3.82421875, + "loss/jsd": 0.0, + "loss/logits": 0.2617119399830699, + "step": 2930 + }, + { + "epoch": 0.294, + "grad_norm": 42.75, + "grad_norm_var": 8.204166666666667, + "learning_rate": 0.0001, + "loss": 8.6531, + "loss/crossentropy": 2.1770762100815775, + "loss/hidden": 3.833984375, + "loss/jsd": 0.0, + "loss/logits": 0.2418960839509964, + "step": 2940 + }, + { + "epoch": 0.295, + "grad_norm": 45.5, + "grad_norm_var": 16.265625, + "learning_rate": 0.0001, + "loss": 8.8053, + "loss/crossentropy": 2.18697277456522, + "loss/hidden": 3.78125, + "loss/jsd": 0.0, + "loss/logits": 0.26141371857374907, + "step": 2950 + }, + { + "epoch": 0.296, + "grad_norm": 32.25, + "grad_norm_var": 19.145833333333332, + "learning_rate": 0.0001, + "loss": 8.7178, + "loss/crossentropy": 2.303604170680046, + "loss/hidden": 3.738671875, + "loss/jsd": 0.0, + "loss/logits": 0.2531938493251801, + "step": 2960 + }, + { + "epoch": 0.297, + "grad_norm": 33.5, + "grad_norm_var": 10.88515625, + "learning_rate": 0.0001, + "loss": 8.5781, + "loss/crossentropy": 2.112999178469181, + "loss/hidden": 3.853515625, + "loss/jsd": 0.0, + "loss/logits": 0.2678428884595633, + "step": 2970 + }, + { + "epoch": 0.298, + "grad_norm": 44.0, + "grad_norm_var": 32.84973958333333, + "learning_rate": 0.0001, + "loss": 8.8415, + "loss/crossentropy": 2.407758575677872, + "loss/hidden": 3.925, + "loss/jsd": 0.0, + "loss/logits": 0.3035837195813656, + "step": 2980 + }, + { + "epoch": 0.299, + "grad_norm": 36.5, + "grad_norm_var": 21.0125, + "learning_rate": 0.0001, + "loss": 8.6496, + "loss/crossentropy": 2.1467753663659095, + "loss/hidden": 3.802734375, + "loss/jsd": 0.0, + "loss/logits": 0.25200750436633823, + "step": 2990 + }, + { + "epoch": 0.3, + "grad_norm": 37.25, + "grad_norm_var": 102.01848958333333, + "learning_rate": 0.0001, + "loss": 8.5981, + "loss/crossentropy": 2.22710300385952, + "loss/hidden": 3.741015625, + "loss/jsd": 0.0, + "loss/logits": 0.24842255041003228, + "step": 3000 + }, + { + "epoch": 0.301, + "grad_norm": 37.5, + "grad_norm_var": 20.633072916666666, + "learning_rate": 0.0001, + "loss": 8.6443, + "loss/crossentropy": 2.3478307321667673, + "loss/hidden": 3.805859375, + "loss/jsd": 0.0, + "loss/logits": 0.25510224178433416, + "step": 3010 + }, + { + "epoch": 0.302, + "grad_norm": 41.5, + "grad_norm_var": 8.864322916666667, + "learning_rate": 0.0001, + "loss": 8.7802, + "loss/crossentropy": 2.3206353336572647, + "loss/hidden": 3.855078125, + "loss/jsd": 0.0, + "loss/logits": 0.2652175173163414, + "step": 3020 + }, + { + "epoch": 0.303, + "grad_norm": 46.25, + "grad_norm_var": 1.6257994395224812e+18, + "learning_rate": 0.0001, + "loss": 8.8456, + "loss/crossentropy": 2.3741259276866913, + "loss/hidden": 3.973046875, + "loss/jsd": 0.0, + "loss/logits": 0.2950541414320469, + "step": 3030 + }, + { + "epoch": 0.304, + "grad_norm": 38.25, + "grad_norm_var": 1.6257994392887188e+18, + "learning_rate": 0.0001, + "loss": 8.7725, + "loss/crossentropy": 2.413549691438675, + "loss/hidden": 3.87734375, + "loss/jsd": 0.0, + "loss/logits": 0.26055113933980467, + "step": 3040 + }, + { + "epoch": 0.305, + "grad_norm": 46.0, + "grad_norm_var": 297.95807291666665, + "learning_rate": 0.0001, + "loss": 8.66, + "loss/crossentropy": 2.3086455732584, + "loss/hidden": 3.956640625, + "loss/jsd": 0.0, + "loss/logits": 0.2837849177420139, + "step": 3050 + }, + { + "epoch": 0.306, + "grad_norm": 38.75, + "grad_norm_var": 326.315625, + "learning_rate": 0.0001, + "loss": 8.7568, + "loss/crossentropy": 2.3664418935775755, + "loss/hidden": 3.912890625, + "loss/jsd": 0.0, + "loss/logits": 0.2698039198294282, + "step": 3060 + }, + { + "epoch": 0.307, + "grad_norm": 36.5, + "grad_norm_var": 21.515625, + "learning_rate": 0.0001, + "loss": 8.7201, + "loss/crossentropy": 2.1954890489578247, + "loss/hidden": 3.8921875, + "loss/jsd": 0.0, + "loss/logits": 0.2684766609221697, + "step": 3070 + }, + { + "epoch": 0.308, + "grad_norm": 41.0, + "grad_norm_var": 7.140625, + "learning_rate": 0.0001, + "loss": 8.8511, + "loss/crossentropy": 2.310048124939203, + "loss/hidden": 3.84609375, + "loss/jsd": 0.0, + "loss/logits": 0.2778544146567583, + "step": 3080 + }, + { + "epoch": 0.309, + "grad_norm": 35.25, + "grad_norm_var": 10.1875, + "learning_rate": 0.0001, + "loss": 8.7144, + "loss/crossentropy": 2.3563184320926664, + "loss/hidden": 3.8625, + "loss/jsd": 0.0, + "loss/logits": 0.2816514492034912, + "step": 3090 + }, + { + "epoch": 0.31, + "grad_norm": 36.75, + "grad_norm_var": 2.279947281849385e+18, + "learning_rate": 0.0001, + "loss": 8.7129, + "loss/crossentropy": 2.439156624674797, + "loss/hidden": 3.85078125, + "loss/jsd": 0.0, + "loss/logits": 0.28767146319150927, + "step": 3100 + }, + { + "epoch": 0.311, + "grad_norm": 39.5, + "grad_norm_var": 2.2799472807295058e+18, + "learning_rate": 0.0001, + "loss": 8.6894, + "loss/crossentropy": 2.176630274951458, + "loss/hidden": 3.76484375, + "loss/jsd": 0.0, + "loss/logits": 0.25743562281131743, + "step": 3110 + }, + { + "epoch": 0.312, + "grad_norm": 36.0, + "grad_norm_var": 42.69348958333333, + "learning_rate": 0.0001, + "loss": 8.6887, + "loss/crossentropy": 2.2695231288671494, + "loss/hidden": 3.796875, + "loss/jsd": 0.0, + "loss/logits": 0.2609828669577837, + "step": 3120 + }, + { + "epoch": 0.313, + "grad_norm": 38.75, + "grad_norm_var": 12.6875, + "learning_rate": 0.0001, + "loss": 8.7316, + "loss/crossentropy": 2.2914074435830116, + "loss/hidden": 3.970703125, + "loss/jsd": 0.0, + "loss/logits": 0.25941712930798533, + "step": 3130 + }, + { + "epoch": 0.314, + "grad_norm": 35.5, + "grad_norm_var": 9.191666666666666, + "learning_rate": 0.0001, + "loss": 8.675, + "loss/crossentropy": 2.2625655576586725, + "loss/hidden": 3.950390625, + "loss/jsd": 0.0, + "loss/logits": 0.26395085640251637, + "step": 3140 + }, + { + "epoch": 0.315, + "grad_norm": 48.25, + "grad_norm_var": 64.8125, + "learning_rate": 0.0001, + "loss": 8.8068, + "loss/crossentropy": 2.157360579818487, + "loss/hidden": 3.814453125, + "loss/jsd": 0.0, + "loss/logits": 0.2572598461061716, + "step": 3150 + }, + { + "epoch": 0.316, + "grad_norm": 36.0, + "grad_norm_var": 69.0212890625, + "learning_rate": 0.0001, + "loss": 8.656, + "loss/crossentropy": 2.24196752011776, + "loss/hidden": 3.821875, + "loss/jsd": 0.0, + "loss/logits": 0.27792793661355975, + "step": 3160 + }, + { + "epoch": 0.317, + "grad_norm": 35.0, + "grad_norm_var": 8.108333333333333, + "learning_rate": 0.0001, + "loss": 8.662, + "loss/crossentropy": 2.2520006895065308, + "loss/hidden": 3.708203125, + "loss/jsd": 0.0, + "loss/logits": 0.2597096076235175, + "step": 3170 + }, + { + "epoch": 0.318, + "grad_norm": 34.0, + "grad_norm_var": 12.848958333333334, + "learning_rate": 0.0001, + "loss": 8.5281, + "loss/crossentropy": 2.2527818381786346, + "loss/hidden": 3.772265625, + "loss/jsd": 0.0, + "loss/logits": 0.2495524413883686, + "step": 3180 + }, + { + "epoch": 0.319, + "grad_norm": 41.0, + "grad_norm_var": 51.365625, + "learning_rate": 0.0001, + "loss": 8.7132, + "loss/crossentropy": 2.2904104314744473, + "loss/hidden": 3.944140625, + "loss/jsd": 0.0, + "loss/logits": 0.2817814026027918, + "step": 3190 + }, + { + "epoch": 0.32, + "grad_norm": 36.25, + "grad_norm_var": 22.22265625, + "learning_rate": 0.0001, + "loss": 8.4574, + "loss/crossentropy": 2.090634661912918, + "loss/hidden": 3.79921875, + "loss/jsd": 0.0, + "loss/logits": 0.24919861294329165, + "step": 3200 + }, + { + "epoch": 0.321, + "grad_norm": 38.5, + "grad_norm_var": 10.030989583333334, + "learning_rate": 0.0001, + "loss": 8.5723, + "loss/crossentropy": 2.117210125923157, + "loss/hidden": 3.672265625, + "loss/jsd": 0.0, + "loss/logits": 0.2293582683429122, + "step": 3210 + }, + { + "epoch": 0.322, + "grad_norm": 36.25, + "grad_norm_var": 17.933072916666667, + "learning_rate": 0.0001, + "loss": 8.5557, + "loss/crossentropy": 2.252604177594185, + "loss/hidden": 3.71171875, + "loss/jsd": 0.0, + "loss/logits": 0.2455908928066492, + "step": 3220 + }, + { + "epoch": 0.323, + "grad_norm": 34.0, + "grad_norm_var": 15.673958333333333, + "learning_rate": 0.0001, + "loss": 8.6303, + "loss/crossentropy": 2.2780065298080445, + "loss/hidden": 3.701953125, + "loss/jsd": 0.0, + "loss/logits": 0.25410398468375206, + "step": 3230 + }, + { + "epoch": 0.324, + "grad_norm": 37.75, + "grad_norm_var": 31.186393229166665, + "learning_rate": 0.0001, + "loss": 8.6026, + "loss/crossentropy": 2.3745017647743225, + "loss/hidden": 3.819140625, + "loss/jsd": 0.0, + "loss/logits": 0.2740194508805871, + "step": 3240 + }, + { + "epoch": 0.325, + "grad_norm": 44.75, + "grad_norm_var": 16.865625, + "learning_rate": 0.0001, + "loss": 8.7984, + "loss/crossentropy": 2.3756151482462884, + "loss/hidden": 3.894921875, + "loss/jsd": 0.0, + "loss/logits": 0.2671732004731894, + "step": 3250 + }, + { + "epoch": 0.326, + "grad_norm": 44.0, + "grad_norm_var": 18.073893229166668, + "learning_rate": 0.0001, + "loss": 8.6327, + "loss/crossentropy": 2.3531317353248595, + "loss/hidden": 3.717578125, + "loss/jsd": 0.0, + "loss/logits": 0.25254391208291055, + "step": 3260 + }, + { + "epoch": 0.327, + "grad_norm": 38.5, + "grad_norm_var": 10.248893229166667, + "learning_rate": 0.0001, + "loss": 8.6167, + "loss/crossentropy": 2.283932936191559, + "loss/hidden": 3.96171875, + "loss/jsd": 0.0, + "loss/logits": 0.28510861806571486, + "step": 3270 + }, + { + "epoch": 0.328, + "grad_norm": 32.25, + "grad_norm_var": 7.364322916666667, + "learning_rate": 0.0001, + "loss": 8.6054, + "loss/crossentropy": 2.1746396124362946, + "loss/hidden": 3.709375, + "loss/jsd": 0.0, + "loss/logits": 0.24525153413414955, + "step": 3280 + }, + { + "epoch": 0.329, + "grad_norm": 41.25, + "grad_norm_var": 18.978059895833333, + "learning_rate": 0.0001, + "loss": 8.8527, + "loss/crossentropy": 2.270473413169384, + "loss/hidden": 3.8609375, + "loss/jsd": 0.0, + "loss/logits": 0.274440161883831, + "step": 3290 + }, + { + "epoch": 0.33, + "grad_norm": 48.5, + "grad_norm_var": 18.778580729166666, + "learning_rate": 0.0001, + "loss": 8.6327, + "loss/crossentropy": 2.3394594848155976, + "loss/hidden": 3.77109375, + "loss/jsd": 0.0, + "loss/logits": 0.25994330234825613, + "step": 3300 + }, + { + "epoch": 0.331, + "grad_norm": 34.75, + "grad_norm_var": 17.190625, + "learning_rate": 0.0001, + "loss": 8.7313, + "loss/crossentropy": 2.347683647274971, + "loss/hidden": 3.894921875, + "loss/jsd": 0.0, + "loss/logits": 0.27402915358543395, + "step": 3310 + }, + { + "epoch": 0.332, + "grad_norm": 31.0, + "grad_norm_var": 27.712239583333332, + "learning_rate": 0.0001, + "loss": 8.7637, + "loss/crossentropy": 2.257617971301079, + "loss/hidden": 3.88046875, + "loss/jsd": 0.0, + "loss/logits": 0.2689027152955532, + "step": 3320 + }, + { + "epoch": 0.333, + "grad_norm": 40.0, + "grad_norm_var": 27.319205729166665, + "learning_rate": 0.0001, + "loss": 8.829, + "loss/crossentropy": 2.2091607600450516, + "loss/hidden": 3.83515625, + "loss/jsd": 0.0, + "loss/logits": 0.2670388799160719, + "step": 3330 + }, + { + "epoch": 0.334, + "grad_norm": 37.5, + "grad_norm_var": 38.63098958333333, + "learning_rate": 0.0001, + "loss": 8.759, + "loss/crossentropy": 2.410393309593201, + "loss/hidden": 3.73359375, + "loss/jsd": 0.0, + "loss/logits": 0.2507057674229145, + "step": 3340 + }, + { + "epoch": 0.335, + "grad_norm": 35.25, + "grad_norm_var": 9.292122395833333, + "learning_rate": 0.0001, + "loss": 8.6462, + "loss/crossentropy": 2.299106788635254, + "loss/hidden": 3.76328125, + "loss/jsd": 0.0, + "loss/logits": 0.2520503532141447, + "step": 3350 + }, + { + "epoch": 0.336, + "grad_norm": 44.25, + "grad_norm_var": 13.2869140625, + "learning_rate": 0.0001, + "loss": 8.6432, + "loss/crossentropy": 2.2736548662185667, + "loss/hidden": 3.81796875, + "loss/jsd": 0.0, + "loss/logits": 0.2679216586053371, + "step": 3360 + }, + { + "epoch": 0.337, + "grad_norm": 40.25, + "grad_norm_var": 16.704622395833333, + "learning_rate": 0.0001, + "loss": 8.6969, + "loss/crossentropy": 2.300890862941742, + "loss/hidden": 3.85703125, + "loss/jsd": 0.0, + "loss/logits": 0.27277763597667215, + "step": 3370 + }, + { + "epoch": 0.338, + "grad_norm": 36.25, + "grad_norm_var": 7.362239583333333, + "learning_rate": 0.0001, + "loss": 8.6139, + "loss/crossentropy": 2.2713751554489137, + "loss/hidden": 3.739453125, + "loss/jsd": 0.0, + "loss/logits": 0.2698351971805096, + "step": 3380 + }, + { + "epoch": 0.339, + "grad_norm": 35.5, + "grad_norm_var": 7.383333333333334, + "learning_rate": 0.0001, + "loss": 8.6652, + "loss/crossentropy": 2.154055279493332, + "loss/hidden": 3.784375, + "loss/jsd": 0.0, + "loss/logits": 0.2516574438661337, + "step": 3390 + }, + { + "epoch": 0.34, + "grad_norm": 46.5, + "grad_norm_var": 231.42083333333332, + "learning_rate": 0.0001, + "loss": 8.7521, + "loss/crossentropy": 2.1560363829135896, + "loss/hidden": 3.78828125, + "loss/jsd": 0.0, + "loss/logits": 0.2552214227616787, + "step": 3400 + }, + { + "epoch": 0.341, + "grad_norm": 34.0, + "grad_norm_var": 16.01015625, + "learning_rate": 0.0001, + "loss": 8.6719, + "loss/crossentropy": 2.210598033666611, + "loss/hidden": 3.7078125, + "loss/jsd": 0.0, + "loss/logits": 0.24775836057960987, + "step": 3410 + }, + { + "epoch": 0.342, + "grad_norm": 46.75, + "grad_norm_var": 23.555989583333332, + "learning_rate": 0.0001, + "loss": 8.732, + "loss/crossentropy": 2.0089349642395975, + "loss/hidden": 3.95625, + "loss/jsd": 0.0, + "loss/logits": 0.24481147788465024, + "step": 3420 + }, + { + "epoch": 0.343, + "grad_norm": 43.5, + "grad_norm_var": 24.71015625, + "learning_rate": 0.0001, + "loss": 8.5835, + "loss/crossentropy": 2.167103961110115, + "loss/hidden": 3.73046875, + "loss/jsd": 0.0, + "loss/logits": 0.23311931267380714, + "step": 3430 + }, + { + "epoch": 0.344, + "grad_norm": 38.75, + "grad_norm_var": 16.239322916666666, + "learning_rate": 0.0001, + "loss": 8.7327, + "loss/crossentropy": 2.223423732817173, + "loss/hidden": 3.916796875, + "loss/jsd": 0.0, + "loss/logits": 0.27787868976593016, + "step": 3440 + }, + { + "epoch": 0.345, + "grad_norm": 32.5, + "grad_norm_var": 12.4166015625, + "learning_rate": 0.0001, + "loss": 8.6674, + "loss/crossentropy": 2.190432313084602, + "loss/hidden": 3.933203125, + "loss/jsd": 0.0, + "loss/logits": 0.2527661222964525, + "step": 3450 + }, + { + "epoch": 0.346, + "grad_norm": 38.5, + "grad_norm_var": 239.47337239583334, + "learning_rate": 0.0001, + "loss": 8.678, + "loss/crossentropy": 2.121590741723776, + "loss/hidden": 3.746875, + "loss/jsd": 0.0, + "loss/logits": 0.22831694399937988, + "step": 3460 + }, + { + "epoch": 0.347, + "grad_norm": 32.5, + "grad_norm_var": 24.29765625, + "learning_rate": 0.0001, + "loss": 8.5703, + "loss/crossentropy": 2.238359749317169, + "loss/hidden": 3.776171875, + "loss/jsd": 0.0, + "loss/logits": 0.2545921359211206, + "step": 3470 + }, + { + "epoch": 0.348, + "grad_norm": 31.375, + "grad_norm_var": 57.77291666666667, + "learning_rate": 0.0001, + "loss": 8.667, + "loss/crossentropy": 2.183069321513176, + "loss/hidden": 3.723828125, + "loss/jsd": 0.0, + "loss/logits": 0.26235801838338374, + "step": 3480 + }, + { + "epoch": 0.349, + "grad_norm": 37.25, + "grad_norm_var": 47.95104166666667, + "learning_rate": 0.0001, + "loss": 8.6657, + "loss/crossentropy": 2.294294211268425, + "loss/hidden": 3.7875, + "loss/jsd": 0.0, + "loss/logits": 0.2434792961925268, + "step": 3490 + }, + { + "epoch": 0.35, + "grad_norm": 55.75, + "grad_norm_var": 32.8931640625, + "learning_rate": 0.0001, + "loss": 8.6293, + "loss/crossentropy": 2.2934862852096556, + "loss/hidden": 3.7671875, + "loss/jsd": 0.0, + "loss/logits": 0.2526032764464617, + "step": 3500 + }, + { + "epoch": 0.351, + "grad_norm": 41.75, + "grad_norm_var": 37.820247395833334, + "learning_rate": 0.0001, + "loss": 8.6558, + "loss/crossentropy": 2.240943320095539, + "loss/hidden": 3.798828125, + "loss/jsd": 0.0, + "loss/logits": 0.2533996310085058, + "step": 3510 + }, + { + "epoch": 0.352, + "grad_norm": 34.0, + "grad_norm_var": 19.158333333333335, + "learning_rate": 0.0001, + "loss": 8.7265, + "loss/crossentropy": 2.2778089314699175, + "loss/hidden": 3.74765625, + "loss/jsd": 0.0, + "loss/logits": 0.24110115878283978, + "step": 3520 + }, + { + "epoch": 0.353, + "grad_norm": 33.75, + "grad_norm_var": 14.61640625, + "learning_rate": 0.0001, + "loss": 8.6184, + "loss/crossentropy": 2.2676281452178957, + "loss/hidden": 3.703515625, + "loss/jsd": 0.0, + "loss/logits": 0.25084604155272244, + "step": 3530 + }, + { + "epoch": 0.354, + "grad_norm": 41.25, + "grad_norm_var": 11.601822916666666, + "learning_rate": 0.0001, + "loss": 8.6994, + "loss/crossentropy": 2.291515235602856, + "loss/hidden": 3.919140625, + "loss/jsd": 0.0, + "loss/logits": 0.29151172675192355, + "step": 3540 + }, + { + "epoch": 0.355, + "grad_norm": 35.75, + "grad_norm_var": 7.620833333333334, + "learning_rate": 0.0001, + "loss": 8.606, + "loss/crossentropy": 2.2359238654375075, + "loss/hidden": 3.81484375, + "loss/jsd": 0.0, + "loss/logits": 0.25299829691648484, + "step": 3550 + }, + { + "epoch": 0.356, + "grad_norm": 35.25, + "grad_norm_var": 7.1, + "learning_rate": 0.0001, + "loss": 8.5051, + "loss/crossentropy": 2.2826671570539476, + "loss/hidden": 3.843359375, + "loss/jsd": 0.0, + "loss/logits": 0.26029736921191216, + "step": 3560 + }, + { + "epoch": 0.357, + "grad_norm": 38.5, + "grad_norm_var": 7.422330729166666, + "learning_rate": 0.0001, + "loss": 8.5601, + "loss/crossentropy": 2.29564026594162, + "loss/hidden": 3.790234375, + "loss/jsd": 0.0, + "loss/logits": 0.24953206069767475, + "step": 3570 + }, + { + "epoch": 0.358, + "grad_norm": 34.25, + "grad_norm_var": 9.414518229166667, + "learning_rate": 0.0001, + "loss": 8.677, + "loss/crossentropy": 2.360885411500931, + "loss/hidden": 3.812890625, + "loss/jsd": 0.0, + "loss/logits": 0.2608415879309177, + "step": 3580 + }, + { + "epoch": 0.359, + "grad_norm": 41.75, + "grad_norm_var": 7.558333333333334, + "learning_rate": 0.0001, + "loss": 8.591, + "loss/crossentropy": 2.0790357582271097, + "loss/hidden": 3.759375, + "loss/jsd": 0.0, + "loss/logits": 0.23188311588019134, + "step": 3590 + }, + { + "epoch": 0.36, + "grad_norm": 38.0, + "grad_norm_var": 10.890625, + "learning_rate": 0.0001, + "loss": 8.6616, + "loss/crossentropy": 2.289612150192261, + "loss/hidden": 3.878125, + "loss/jsd": 0.0, + "loss/logits": 0.2747206833213568, + "step": 3600 + }, + { + "epoch": 0.361, + "grad_norm": 42.0, + "grad_norm_var": 14.145572916666667, + "learning_rate": 0.0001, + "loss": 8.589, + "loss/crossentropy": 2.132586442679167, + "loss/hidden": 3.811328125, + "loss/jsd": 0.0, + "loss/logits": 0.25861772149801254, + "step": 3610 + }, + { + "epoch": 0.362, + "grad_norm": 35.0, + "grad_norm_var": 11.537239583333333, + "learning_rate": 0.0001, + "loss": 8.6171, + "loss/crossentropy": 2.3269239187240602, + "loss/hidden": 3.8265625, + "loss/jsd": 0.0, + "loss/logits": 0.2712526451796293, + "step": 3620 + }, + { + "epoch": 0.363, + "grad_norm": 33.75, + "grad_norm_var": 20.012239583333333, + "learning_rate": 0.0001, + "loss": 8.5134, + "loss/crossentropy": 2.326130175590515, + "loss/hidden": 3.791796875, + "loss/jsd": 0.0, + "loss/logits": 0.24642233476042746, + "step": 3630 + }, + { + "epoch": 0.364, + "grad_norm": 31.875, + "grad_norm_var": 30.459830729166665, + "learning_rate": 0.0001, + "loss": 8.5808, + "loss/crossentropy": 2.30035699903965, + "loss/hidden": 3.733984375, + "loss/jsd": 0.0, + "loss/logits": 0.26470062173902986, + "step": 3640 + }, + { + "epoch": 0.365, + "grad_norm": 37.25, + "grad_norm_var": 8.626041666666667, + "learning_rate": 0.0001, + "loss": 8.5614, + "loss/crossentropy": 2.3303778156638146, + "loss/hidden": 3.871875, + "loss/jsd": 0.0, + "loss/logits": 0.27759894989430905, + "step": 3650 + }, + { + "epoch": 0.366, + "grad_norm": 33.0, + "grad_norm_var": 5.374739583333334, + "learning_rate": 0.0001, + "loss": 8.5104, + "loss/crossentropy": 2.3886318862438203, + "loss/hidden": 3.801953125, + "loss/jsd": 0.0, + "loss/logits": 0.26098744831979276, + "step": 3660 + }, + { + "epoch": 0.367, + "grad_norm": 28.875, + "grad_norm_var": 18.685416666666665, + "learning_rate": 0.0001, + "loss": 8.5148, + "loss/crossentropy": 2.3471581265330315, + "loss/hidden": 3.760546875, + "loss/jsd": 0.0, + "loss/logits": 0.258730498701334, + "step": 3670 + }, + { + "epoch": 0.368, + "grad_norm": 48.5, + "grad_norm_var": 36.4744140625, + "learning_rate": 0.0001, + "loss": 8.5484, + "loss/crossentropy": 2.1698090970516204, + "loss/hidden": 3.70078125, + "loss/jsd": 0.0, + "loss/logits": 0.24077225737273694, + "step": 3680 + }, + { + "epoch": 0.369, + "grad_norm": 30.125, + "grad_norm_var": 25.111393229166666, + "learning_rate": 0.0001, + "loss": 8.5671, + "loss/crossentropy": 2.1866169169545175, + "loss/hidden": 3.8203125, + "loss/jsd": 0.0, + "loss/logits": 0.24500060379505156, + "step": 3690 + }, + { + "epoch": 0.37, + "grad_norm": 30.375, + "grad_norm_var": 2.130484072425508e+18, + "learning_rate": 0.0001, + "loss": 8.6635, + "loss/crossentropy": 2.453831446170807, + "loss/hidden": 4.06171875, + "loss/jsd": 0.0, + "loss/logits": 0.2722825076431036, + "step": 3700 + }, + { + "epoch": 0.371, + "grad_norm": 32.5, + "grad_norm_var": 32.78795572916667, + "learning_rate": 0.0001, + "loss": 8.5788, + "loss/crossentropy": 2.212860561162233, + "loss/hidden": 3.629296875, + "loss/jsd": 0.0, + "loss/logits": 0.21873269081115723, + "step": 3710 + }, + { + "epoch": 0.372, + "grad_norm": 29.625, + "grad_norm_var": 31.475455729166665, + "learning_rate": 0.0001, + "loss": 8.5924, + "loss/crossentropy": 2.3226836264133452, + "loss/hidden": 3.711328125, + "loss/jsd": 0.0, + "loss/logits": 0.2526125326752663, + "step": 3720 + }, + { + "epoch": 0.373, + "grad_norm": 40.25, + "grad_norm_var": 74.74680989583334, + "learning_rate": 0.0001, + "loss": 8.7309, + "loss/crossentropy": 2.211090712249279, + "loss/hidden": 3.85078125, + "loss/jsd": 0.0, + "loss/logits": 0.2619786085560918, + "step": 3730 + }, + { + "epoch": 0.374, + "grad_norm": 30.5, + "grad_norm_var": 49.24108072916667, + "learning_rate": 0.0001, + "loss": 8.4683, + "loss/crossentropy": 2.117314028739929, + "loss/hidden": 3.787890625, + "loss/jsd": 0.0, + "loss/logits": 0.24047958478331566, + "step": 3740 + }, + { + "epoch": 0.375, + "grad_norm": 43.0, + "grad_norm_var": 13.481184895833334, + "learning_rate": 0.0001, + "loss": 8.5891, + "loss/crossentropy": 2.3331554174423217, + "loss/hidden": 3.737109375, + "loss/jsd": 0.0, + "loss/logits": 0.265634342469275, + "step": 3750 + }, + { + "epoch": 0.376, + "grad_norm": 70.0, + "grad_norm_var": 86.09837239583334, + "learning_rate": 0.0001, + "loss": 8.4671, + "loss/crossentropy": 2.279883709549904, + "loss/hidden": 3.764453125, + "loss/jsd": 0.0, + "loss/logits": 0.2557247843593359, + "step": 3760 + }, + { + "epoch": 0.377, + "grad_norm": 37.5, + "grad_norm_var": 101.2072265625, + "learning_rate": 0.0001, + "loss": 8.6263, + "loss/crossentropy": 2.119837614893913, + "loss/hidden": 3.7328125, + "loss/jsd": 0.0, + "loss/logits": 0.24443967882543802, + "step": 3770 + }, + { + "epoch": 0.378, + "grad_norm": 36.0, + "grad_norm_var": 11.41015625, + "learning_rate": 0.0001, + "loss": 8.573, + "loss/crossentropy": 2.2743908286094667, + "loss/hidden": 3.7046875, + "loss/jsd": 0.0, + "loss/logits": 0.24655351527035235, + "step": 3780 + }, + { + "epoch": 0.379, + "grad_norm": 30.5, + "grad_norm_var": 22.8337890625, + "learning_rate": 0.0001, + "loss": 8.5496, + "loss/crossentropy": 2.298393335938454, + "loss/hidden": 3.661328125, + "loss/jsd": 0.0, + "loss/logits": 0.2468328095972538, + "step": 3790 + }, + { + "epoch": 0.38, + "grad_norm": 36.75, + "grad_norm_var": 21.886393229166668, + "learning_rate": 0.0001, + "loss": 8.4728, + "loss/crossentropy": 2.285892593860626, + "loss/hidden": 3.696484375, + "loss/jsd": 0.0, + "loss/logits": 0.22759304326027632, + "step": 3800 + }, + { + "epoch": 0.381, + "grad_norm": 37.0, + "grad_norm_var": 25.983268229166665, + "learning_rate": 0.0001, + "loss": 8.4654, + "loss/crossentropy": 2.200984264165163, + "loss/hidden": 3.760546875, + "loss/jsd": 0.0, + "loss/logits": 0.2451606505550444, + "step": 3810 + }, + { + "epoch": 0.382, + "grad_norm": 37.5, + "grad_norm_var": 13.956705729166666, + "learning_rate": 0.0001, + "loss": 8.5469, + "loss/crossentropy": 2.2647089801728724, + "loss/hidden": 3.803125, + "loss/jsd": 0.0, + "loss/logits": 0.2533489029854536, + "step": 3820 + }, + { + "epoch": 0.383, + "grad_norm": 34.75, + "grad_norm_var": 7.221809895833333, + "learning_rate": 0.0001, + "loss": 8.579, + "loss/crossentropy": 2.386853316426277, + "loss/hidden": 3.795703125, + "loss/jsd": 0.0, + "loss/logits": 0.2518702711910009, + "step": 3830 + }, + { + "epoch": 0.384, + "grad_norm": 42.0, + "grad_norm_var": 15.8650390625, + "learning_rate": 0.0001, + "loss": 8.4816, + "loss/crossentropy": 2.3519598811864855, + "loss/hidden": 3.75625, + "loss/jsd": 0.0, + "loss/logits": 0.253318839520216, + "step": 3840 + }, + { + "epoch": 0.385, + "grad_norm": 38.25, + "grad_norm_var": 14.728580729166667, + "learning_rate": 0.0001, + "loss": 8.7292, + "loss/crossentropy": 2.164312995970249, + "loss/hidden": 3.8234375, + "loss/jsd": 0.0, + "loss/logits": 0.24283661209046842, + "step": 3850 + }, + { + "epoch": 0.386, + "grad_norm": 37.75, + "grad_norm_var": 14.876822916666667, + "learning_rate": 0.0001, + "loss": 8.6236, + "loss/crossentropy": 2.1916888520121574, + "loss/hidden": 3.69140625, + "loss/jsd": 0.0, + "loss/logits": 0.23480207994580268, + "step": 3860 + }, + { + "epoch": 0.387, + "grad_norm": 33.25, + "grad_norm_var": 17.855208333333334, + "learning_rate": 0.0001, + "loss": 8.4472, + "loss/crossentropy": 2.2794968456029894, + "loss/hidden": 3.759375, + "loss/jsd": 0.0, + "loss/logits": 0.2547815594822168, + "step": 3870 + }, + { + "epoch": 0.388, + "grad_norm": 39.75, + "grad_norm_var": 10.063541666666667, + "learning_rate": 0.0001, + "loss": 8.5547, + "loss/crossentropy": 2.2261194586753845, + "loss/hidden": 3.73203125, + "loss/jsd": 0.0, + "loss/logits": 0.24962050542235376, + "step": 3880 + }, + { + "epoch": 0.389, + "grad_norm": 33.75, + "grad_norm_var": 25.229622395833335, + "learning_rate": 0.0001, + "loss": 8.428, + "loss/crossentropy": 2.2669249922037125, + "loss/hidden": 3.589453125, + "loss/jsd": 0.0, + "loss/logits": 0.22769966274499892, + "step": 3890 + }, + { + "epoch": 0.39, + "grad_norm": 34.75, + "grad_norm_var": 22.89765625, + "learning_rate": 0.0001, + "loss": 8.4932, + "loss/crossentropy": 2.2599128648638724, + "loss/hidden": 3.744921875, + "loss/jsd": 0.0, + "loss/logits": 0.24268860407173634, + "step": 3900 + }, + { + "epoch": 0.391, + "grad_norm": 37.0, + "grad_norm_var": 44.83483072916667, + "learning_rate": 0.0001, + "loss": 8.5202, + "loss/crossentropy": 2.1972982972860335, + "loss/hidden": 3.812109375, + "loss/jsd": 0.0, + "loss/logits": 0.25300098545849325, + "step": 3910 + }, + { + "epoch": 0.392, + "grad_norm": 40.25, + "grad_norm_var": 11.49140625, + "learning_rate": 0.0001, + "loss": 8.5002, + "loss/crossentropy": 2.347226142883301, + "loss/hidden": 3.658203125, + "loss/jsd": 0.0, + "loss/logits": 0.24455956518650054, + "step": 3920 + }, + { + "epoch": 0.393, + "grad_norm": 31.125, + "grad_norm_var": 17.219791666666666, + "learning_rate": 0.0001, + "loss": 8.4054, + "loss/crossentropy": 2.2351839393377304, + "loss/hidden": 3.59140625, + "loss/jsd": 0.0, + "loss/logits": 0.22245508581399917, + "step": 3930 + }, + { + "epoch": 0.394, + "grad_norm": 37.0, + "grad_norm_var": 11.382747395833333, + "learning_rate": 0.0001, + "loss": 8.4771, + "loss/crossentropy": 2.4160192787647246, + "loss/hidden": 3.700390625, + "loss/jsd": 0.0, + "loss/logits": 0.2585303969681263, + "step": 3940 + }, + { + "epoch": 0.395, + "grad_norm": 30.875, + "grad_norm_var": 10.731705729166666, + "learning_rate": 0.0001, + "loss": 8.4064, + "loss/crossentropy": 2.329276342689991, + "loss/hidden": 3.641796875, + "loss/jsd": 0.0, + "loss/logits": 0.23809341453015803, + "step": 3950 + }, + { + "epoch": 0.396, + "grad_norm": 31.875, + "grad_norm_var": 18.456184895833335, + "learning_rate": 0.0001, + "loss": 8.4948, + "loss/crossentropy": 2.397703355550766, + "loss/hidden": 3.8703125, + "loss/jsd": 0.0, + "loss/logits": 0.2577156092971563, + "step": 3960 + }, + { + "epoch": 0.397, + "grad_norm": 35.25, + "grad_norm_var": 16.1291015625, + "learning_rate": 0.0001, + "loss": 8.5021, + "loss/crossentropy": 2.3261855766177177, + "loss/hidden": 3.694921875, + "loss/jsd": 0.0, + "loss/logits": 0.2523797513917089, + "step": 3970 + }, + { + "epoch": 0.398, + "grad_norm": 33.0, + "grad_norm_var": 8.205208333333333, + "learning_rate": 0.0001, + "loss": 8.4531, + "loss/crossentropy": 2.235724928975105, + "loss/hidden": 3.7296875, + "loss/jsd": 0.0, + "loss/logits": 0.2461556438356638, + "step": 3980 + }, + { + "epoch": 0.399, + "grad_norm": 35.5, + "grad_norm_var": 7.25390625, + "learning_rate": 0.0001, + "loss": 8.3779, + "loss/crossentropy": 2.258603112399578, + "loss/hidden": 3.731640625, + "loss/jsd": 0.0, + "loss/logits": 0.2523756165057421, + "step": 3990 + }, + { + "epoch": 0.4, + "grad_norm": 32.5, + "grad_norm_var": 11.34765625, + "learning_rate": 0.0001, + "loss": 8.542, + "loss/crossentropy": 2.2897588342428206, + "loss/hidden": 3.6453125, + "loss/jsd": 0.0, + "loss/logits": 0.2516363400965929, + "step": 4000 + }, + { + "epoch": 0.401, + "grad_norm": 32.0, + "grad_norm_var": 9.889518229166667, + "learning_rate": 0.0001, + "loss": 8.4234, + "loss/crossentropy": 2.1721622362732886, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.25033344645053146, + "step": 4010 + }, + { + "epoch": 0.402, + "grad_norm": 35.75, + "grad_norm_var": 15.199934895833334, + "learning_rate": 0.0001, + "loss": 8.4018, + "loss/crossentropy": 2.1795839801430703, + "loss/hidden": 3.78515625, + "loss/jsd": 0.0, + "loss/logits": 0.24097833968698978, + "step": 4020 + }, + { + "epoch": 0.403, + "grad_norm": 37.75, + "grad_norm_var": 162.76451822916667, + "learning_rate": 0.0001, + "loss": 8.4738, + "loss/crossentropy": 2.4760424941778183, + "loss/hidden": 3.86484375, + "loss/jsd": 0.0, + "loss/logits": 0.3052004296332598, + "step": 4030 + }, + { + "epoch": 0.404, + "grad_norm": 41.5, + "grad_norm_var": 2.408370239548424e+18, + "learning_rate": 0.0001, + "loss": 8.4302, + "loss/crossentropy": 2.1855442106723784, + "loss/hidden": 3.77578125, + "loss/jsd": 0.0, + "loss/logits": 0.24037305619567634, + "step": 4040 + }, + { + "epoch": 0.405, + "grad_norm": 32.0, + "grad_norm_var": 2.4083702412167086e+18, + "learning_rate": 0.0001, + "loss": 8.3213, + "loss/crossentropy": 2.22409378439188, + "loss/hidden": 3.653515625, + "loss/jsd": 0.0, + "loss/logits": 0.23280739206820728, + "step": 4050 + }, + { + "epoch": 0.406, + "grad_norm": 39.5, + "grad_norm_var": 9.825, + "learning_rate": 0.0001, + "loss": 8.4657, + "loss/crossentropy": 2.28346493691206, + "loss/hidden": 3.773828125, + "loss/jsd": 0.0, + "loss/logits": 0.2542352583259344, + "step": 4060 + }, + { + "epoch": 0.407, + "grad_norm": 39.75, + "grad_norm_var": 7.640625, + "learning_rate": 0.0001, + "loss": 8.3937, + "loss/crossentropy": 2.2639666229486464, + "loss/hidden": 3.851953125, + "loss/jsd": 0.0, + "loss/logits": 0.27007580138742926, + "step": 4070 + }, + { + "epoch": 0.408, + "grad_norm": 37.25, + "grad_norm_var": 10.493684895833333, + "learning_rate": 0.0001, + "loss": 8.468, + "loss/crossentropy": 2.356726923584938, + "loss/hidden": 3.716796875, + "loss/jsd": 0.0, + "loss/logits": 0.242316972091794, + "step": 4080 + }, + { + "epoch": 0.409, + "grad_norm": 34.5, + "grad_norm_var": 8.8462890625, + "learning_rate": 0.0001, + "loss": 8.3684, + "loss/crossentropy": 2.151221239566803, + "loss/hidden": 3.692578125, + "loss/jsd": 0.0, + "loss/logits": 0.2382324907928705, + "step": 4090 + }, + { + "epoch": 0.41, + "grad_norm": 37.0, + "grad_norm_var": 13.3775390625, + "learning_rate": 0.0001, + "loss": 8.296, + "loss/crossentropy": 2.1645509719848635, + "loss/hidden": 3.65703125, + "loss/jsd": 0.0, + "loss/logits": 0.2371783286333084, + "step": 4100 + }, + { + "epoch": 0.411, + "grad_norm": 32.5, + "grad_norm_var": 25.270247395833334, + "learning_rate": 0.0001, + "loss": 8.3435, + "loss/crossentropy": 2.1995768398046494, + "loss/hidden": 3.6640625, + "loss/jsd": 0.0, + "loss/logits": 0.23499403558671475, + "step": 4110 + }, + { + "epoch": 0.412, + "grad_norm": 38.0, + "grad_norm_var": 13.875, + "learning_rate": 0.0001, + "loss": 8.3746, + "loss/crossentropy": 2.135378623008728, + "loss/hidden": 3.612109375, + "loss/jsd": 0.0, + "loss/logits": 0.24154506418854, + "step": 4120 + }, + { + "epoch": 0.413, + "grad_norm": 40.25, + "grad_norm_var": 12.233072916666666, + "learning_rate": 0.0001, + "loss": 8.3505, + "loss/crossentropy": 2.356252074241638, + "loss/hidden": 3.734765625, + "loss/jsd": 0.0, + "loss/logits": 0.2688302733004093, + "step": 4130 + }, + { + "epoch": 0.414, + "grad_norm": 39.25, + "grad_norm_var": 14.333072916666667, + "learning_rate": 0.0001, + "loss": 8.4228, + "loss/crossentropy": 2.334370291233063, + "loss/hidden": 3.648046875, + "loss/jsd": 0.0, + "loss/logits": 0.23012813031673432, + "step": 4140 + }, + { + "epoch": 0.415, + "grad_norm": 35.5, + "grad_norm_var": 8.170833333333333, + "learning_rate": 0.0001, + "loss": 8.3324, + "loss/crossentropy": 2.214457754790783, + "loss/hidden": 3.651171875, + "loss/jsd": 0.0, + "loss/logits": 0.24744220934808253, + "step": 4150 + }, + { + "epoch": 0.416, + "grad_norm": 37.0, + "grad_norm_var": 7.603580729166667, + "learning_rate": 0.0001, + "loss": 8.3237, + "loss/crossentropy": 2.3053094416856768, + "loss/hidden": 3.62578125, + "loss/jsd": 0.0, + "loss/logits": 0.2290981512516737, + "step": 4160 + }, + { + "epoch": 0.417, + "grad_norm": 50.75, + "grad_norm_var": 23.6931640625, + "learning_rate": 0.0001, + "loss": 8.2895, + "loss/crossentropy": 2.100640784204006, + "loss/hidden": 3.72578125, + "loss/jsd": 0.0, + "loss/logits": 0.24771791882812977, + "step": 4170 + }, + { + "epoch": 0.418, + "grad_norm": 42.25, + "grad_norm_var": 25.6509765625, + "learning_rate": 0.0001, + "loss": 8.4997, + "loss/crossentropy": 2.4176384449005126, + "loss/hidden": 3.734375, + "loss/jsd": 0.0, + "loss/logits": 0.2665034931153059, + "step": 4180 + }, + { + "epoch": 0.419, + "grad_norm": 46.75, + "grad_norm_var": 16.7041015625, + "learning_rate": 0.0001, + "loss": 8.241, + "loss/crossentropy": 2.0916571110486983, + "loss/hidden": 3.640234375, + "loss/jsd": 0.0, + "loss/logits": 0.23109357040375472, + "step": 4190 + }, + { + "epoch": 0.42, + "grad_norm": 34.0, + "grad_norm_var": 10.265625, + "learning_rate": 0.0001, + "loss": 8.3903, + "loss/crossentropy": 2.4284214213490487, + "loss/hidden": 3.676171875, + "loss/jsd": 0.0, + "loss/logits": 0.24520040042698382, + "step": 4200 + }, + { + "epoch": 0.421, + "grad_norm": 48.25, + "grad_norm_var": 17.694205729166665, + "learning_rate": 0.0001, + "loss": 8.4379, + "loss/crossentropy": 2.342070159316063, + "loss/hidden": 3.750390625, + "loss/jsd": 0.0, + "loss/logits": 0.2608378600329161, + "step": 4210 + }, + { + "epoch": 0.422, + "grad_norm": 31.875, + "grad_norm_var": 21.2806640625, + "learning_rate": 0.0001, + "loss": 8.2667, + "loss/crossentropy": 2.3339773267507553, + "loss/hidden": 3.68828125, + "loss/jsd": 0.0, + "loss/logits": 0.24873733669519424, + "step": 4220 + }, + { + "epoch": 0.423, + "grad_norm": 34.0, + "grad_norm_var": 10.834375, + "learning_rate": 0.0001, + "loss": 8.313, + "loss/crossentropy": 2.2396500378847124, + "loss/hidden": 3.647265625, + "loss/jsd": 0.0, + "loss/logits": 0.23453602455556394, + "step": 4230 + }, + { + "epoch": 0.424, + "grad_norm": 31.875, + "grad_norm_var": 20.712239583333332, + "learning_rate": 0.0001, + "loss": 8.3885, + "loss/crossentropy": 2.1176706120371818, + "loss/hidden": 3.818359375, + "loss/jsd": 0.0, + "loss/logits": 0.24183569326996804, + "step": 4240 + }, + { + "epoch": 0.425, + "grad_norm": 46.0, + "grad_norm_var": 18.212434895833333, + "learning_rate": 0.0001, + "loss": 8.4311, + "loss/crossentropy": 2.161303213238716, + "loss/hidden": 3.71015625, + "loss/jsd": 0.0, + "loss/logits": 0.23596356846392155, + "step": 4250 + }, + { + "epoch": 0.426, + "grad_norm": 31.75, + "grad_norm_var": 18.470833333333335, + "learning_rate": 0.0001, + "loss": 8.389, + "loss/crossentropy": 2.1959901452064514, + "loss/hidden": 3.683203125, + "loss/jsd": 0.0, + "loss/logits": 0.23274125456809996, + "step": 4260 + }, + { + "epoch": 0.427, + "grad_norm": 40.0, + "grad_norm_var": 15.642643229166667, + "learning_rate": 0.0001, + "loss": 8.3995, + "loss/crossentropy": 2.3957006752491, + "loss/hidden": 3.6546875, + "loss/jsd": 0.0, + "loss/logits": 0.23920847922563554, + "step": 4270 + }, + { + "epoch": 0.428, + "grad_norm": 32.25, + "grad_norm_var": 12.506705729166667, + "learning_rate": 0.0001, + "loss": 8.3247, + "loss/crossentropy": 2.140459132194519, + "loss/hidden": 3.776953125, + "loss/jsd": 0.0, + "loss/logits": 0.24535099379718303, + "step": 4280 + }, + { + "epoch": 0.429, + "grad_norm": 31.125, + "grad_norm_var": 14.913997395833333, + "learning_rate": 0.0001, + "loss": 8.2296, + "loss/crossentropy": 2.330910986661911, + "loss/hidden": 3.65546875, + "loss/jsd": 0.0, + "loss/logits": 0.25125612393021585, + "step": 4290 + }, + { + "epoch": 0.43, + "grad_norm": 31.0, + "grad_norm_var": 9.062955729166667, + "learning_rate": 0.0001, + "loss": 8.2789, + "loss/crossentropy": 2.21281051337719, + "loss/hidden": 3.717578125, + "loss/jsd": 0.0, + "loss/logits": 0.24373065643012523, + "step": 4300 + }, + { + "epoch": 0.431, + "grad_norm": 46.25, + "grad_norm_var": 18.794205729166666, + "learning_rate": 0.0001, + "loss": 8.283, + "loss/crossentropy": 2.182158187031746, + "loss/hidden": 3.6703125, + "loss/jsd": 0.0, + "loss/logits": 0.24544784277677537, + "step": 4310 + }, + { + "epoch": 0.432, + "grad_norm": 45.75, + "grad_norm_var": 38.16458333333333, + "learning_rate": 0.0001, + "loss": 8.2852, + "loss/crossentropy": 2.365989252924919, + "loss/hidden": 3.706640625, + "loss/jsd": 0.0, + "loss/logits": 0.24662891514599322, + "step": 4320 + }, + { + "epoch": 0.433, + "grad_norm": 35.25, + "grad_norm_var": 16.307291666666668, + "learning_rate": 0.0001, + "loss": 8.2794, + "loss/crossentropy": 2.1546150177717207, + "loss/hidden": 3.620703125, + "loss/jsd": 0.0, + "loss/logits": 0.2297368910163641, + "step": 4330 + }, + { + "epoch": 0.434, + "grad_norm": 31.625, + "grad_norm_var": 19.6400390625, + "learning_rate": 0.0001, + "loss": 8.3956, + "loss/crossentropy": 2.385764144361019, + "loss/hidden": 3.7015625, + "loss/jsd": 0.0, + "loss/logits": 0.24324760176241397, + "step": 4340 + }, + { + "epoch": 0.435, + "grad_norm": 33.0, + "grad_norm_var": 9.987239583333333, + "learning_rate": 0.0001, + "loss": 8.2695, + "loss/crossentropy": 2.112358179688454, + "loss/hidden": 3.788671875, + "loss/jsd": 0.0, + "loss/logits": 0.24638627246022224, + "step": 4350 + }, + { + "epoch": 0.436, + "grad_norm": 34.5, + "grad_norm_var": 8.0875, + "learning_rate": 0.0001, + "loss": 8.448, + "loss/crossentropy": 2.182591002434492, + "loss/hidden": 3.746875, + "loss/jsd": 0.0, + "loss/logits": 0.24270438468083738, + "step": 4360 + }, + { + "epoch": 0.437, + "grad_norm": 38.25, + "grad_norm_var": 5.695833333333334, + "learning_rate": 0.0001, + "loss": 8.3975, + "loss/crossentropy": 2.401635229587555, + "loss/hidden": 3.65859375, + "loss/jsd": 0.0, + "loss/logits": 0.24400906264781952, + "step": 4370 + }, + { + "epoch": 0.438, + "grad_norm": 34.75, + "grad_norm_var": 8.372330729166666, + "learning_rate": 0.0001, + "loss": 8.3822, + "loss/crossentropy": 2.3247624695301057, + "loss/hidden": 3.591015625, + "loss/jsd": 0.0, + "loss/logits": 0.24138722717761993, + "step": 4380 + }, + { + "epoch": 0.439, + "grad_norm": 62.75, + "grad_norm_var": 70.6103515625, + "learning_rate": 0.0001, + "loss": 8.3893, + "loss/crossentropy": 2.1605212301015855, + "loss/hidden": 3.75, + "loss/jsd": 0.0, + "loss/logits": 0.270247707888484, + "step": 4390 + }, + { + "epoch": 0.44, + "grad_norm": 34.5, + "grad_norm_var": 80.6375, + "learning_rate": 0.0001, + "loss": 8.3494, + "loss/crossentropy": 2.201382315158844, + "loss/hidden": 3.55390625, + "loss/jsd": 0.0, + "loss/logits": 0.22101359032094478, + "step": 4400 + }, + { + "epoch": 0.441, + "grad_norm": 37.75, + "grad_norm_var": 12.06875, + "learning_rate": 0.0001, + "loss": 8.3221, + "loss/crossentropy": 2.1608468025922773, + "loss/hidden": 3.570703125, + "loss/jsd": 0.0, + "loss/logits": 0.22636283356696368, + "step": 4410 + }, + { + "epoch": 0.442, + "grad_norm": 32.25, + "grad_norm_var": 16.13515625, + "learning_rate": 0.0001, + "loss": 8.2013, + "loss/crossentropy": 2.2836680516600607, + "loss/hidden": 3.6765625, + "loss/jsd": 0.0, + "loss/logits": 0.24737481120973825, + "step": 4420 + }, + { + "epoch": 0.443, + "grad_norm": 34.5, + "grad_norm_var": 14.570768229166667, + "learning_rate": 0.0001, + "loss": 8.3241, + "loss/crossentropy": 2.1778072111308573, + "loss/hidden": 3.685546875, + "loss/jsd": 0.0, + "loss/logits": 0.23579915445297955, + "step": 4430 + }, + { + "epoch": 0.444, + "grad_norm": 33.5, + "grad_norm_var": 14.844205729166667, + "learning_rate": 0.0001, + "loss": 8.2468, + "loss/crossentropy": 2.115637184679508, + "loss/hidden": 3.54921875, + "loss/jsd": 0.0, + "loss/logits": 0.22633790075778962, + "step": 4440 + }, + { + "epoch": 0.445, + "grad_norm": 40.0, + "grad_norm_var": 8.757291666666667, + "learning_rate": 0.0001, + "loss": 8.3095, + "loss/crossentropy": 2.2457625687122347, + "loss/hidden": 3.678125, + "loss/jsd": 0.0, + "loss/logits": 0.24750035293400288, + "step": 4450 + }, + { + "epoch": 0.446, + "grad_norm": 30.75, + "grad_norm_var": 9.359309895833333, + "learning_rate": 0.0001, + "loss": 8.3604, + "loss/crossentropy": 2.2244989693164827, + "loss/hidden": 3.742578125, + "loss/jsd": 0.0, + "loss/logits": 0.27126055024564266, + "step": 4460 + }, + { + "epoch": 0.447, + "grad_norm": 32.75, + "grad_norm_var": 8.16015625, + "learning_rate": 0.0001, + "loss": 8.293, + "loss/crossentropy": 2.208540087938309, + "loss/hidden": 3.591796875, + "loss/jsd": 0.0, + "loss/logits": 0.23848242741078138, + "step": 4470 + }, + { + "epoch": 0.448, + "grad_norm": 31.5, + "grad_norm_var": 27.215625, + "learning_rate": 0.0001, + "loss": 8.4332, + "loss/crossentropy": 2.182788160443306, + "loss/hidden": 3.775, + "loss/jsd": 0.0, + "loss/logits": 0.26532087065279486, + "step": 4480 + }, + { + "epoch": 0.449, + "grad_norm": 39.5, + "grad_norm_var": 29.916666666666668, + "learning_rate": 0.0001, + "loss": 8.2552, + "loss/crossentropy": 2.172296644747257, + "loss/hidden": 3.66875, + "loss/jsd": 0.0, + "loss/logits": 0.23516011722385882, + "step": 4490 + }, + { + "epoch": 0.45, + "grad_norm": 33.75, + "grad_norm_var": 21.775455729166666, + "learning_rate": 0.0001, + "loss": 8.3872, + "loss/crossentropy": 2.304448103904724, + "loss/hidden": 3.56015625, + "loss/jsd": 0.0, + "loss/logits": 0.23418739810585976, + "step": 4500 + }, + { + "epoch": 0.451, + "grad_norm": 31.75, + "grad_norm_var": 23.40390625, + "learning_rate": 0.0001, + "loss": 8.4055, + "loss/crossentropy": 2.2493974685668947, + "loss/hidden": 3.652734375, + "loss/jsd": 0.0, + "loss/logits": 0.2410556711256504, + "step": 4510 + }, + { + "epoch": 0.452, + "grad_norm": 32.25, + "grad_norm_var": 19.04375, + "learning_rate": 0.0001, + "loss": 8.2847, + "loss/crossentropy": 2.0756215125322344, + "loss/hidden": 3.658984375, + "loss/jsd": 0.0, + "loss/logits": 0.23735107891261578, + "step": 4520 + }, + { + "epoch": 0.453, + "grad_norm": 38.5, + "grad_norm_var": 11.048958333333333, + "learning_rate": 0.0001, + "loss": 8.4058, + "loss/crossentropy": 2.2705332577228545, + "loss/hidden": 3.75703125, + "loss/jsd": 0.0, + "loss/logits": 0.2552911601960659, + "step": 4530 + }, + { + "epoch": 0.454, + "grad_norm": 32.25, + "grad_norm_var": 15.964583333333334, + "learning_rate": 0.0001, + "loss": 8.3352, + "loss/crossentropy": 2.2062640622258187, + "loss/hidden": 3.663671875, + "loss/jsd": 0.0, + "loss/logits": 0.23420217223465442, + "step": 4540 + }, + { + "epoch": 0.455, + "grad_norm": 35.5, + "grad_norm_var": 18.8041015625, + "learning_rate": 0.0001, + "loss": 8.1398, + "loss/crossentropy": 2.2153613708913324, + "loss/hidden": 3.688671875, + "loss/jsd": 0.0, + "loss/logits": 0.23869724282994867, + "step": 4550 + }, + { + "epoch": 0.456, + "grad_norm": 32.25, + "grad_norm_var": 15.843489583333334, + "learning_rate": 0.0001, + "loss": 8.3482, + "loss/crossentropy": 2.2614838272333144, + "loss/hidden": 3.719921875, + "loss/jsd": 0.0, + "loss/logits": 0.2509554075077176, + "step": 4560 + }, + { + "epoch": 0.457, + "grad_norm": 37.0, + "grad_norm_var": 17.045572916666668, + "learning_rate": 0.0001, + "loss": 8.3724, + "loss/crossentropy": 2.1315455704927446, + "loss/hidden": 3.720703125, + "loss/jsd": 0.0, + "loss/logits": 0.24938025698065758, + "step": 4570 + }, + { + "epoch": 0.458, + "grad_norm": 31.75, + "grad_norm_var": 18.753580729166668, + "learning_rate": 0.0001, + "loss": 8.1789, + "loss/crossentropy": 2.250936383008957, + "loss/hidden": 3.601953125, + "loss/jsd": 0.0, + "loss/logits": 0.23103775745257735, + "step": 4580 + }, + { + "epoch": 0.459, + "grad_norm": 31.75, + "grad_norm_var": 9.3087890625, + "learning_rate": 0.0001, + "loss": 8.2367, + "loss/crossentropy": 2.0491979137063026, + "loss/hidden": 3.767578125, + "loss/jsd": 0.0, + "loss/logits": 0.24958254247903824, + "step": 4590 + }, + { + "epoch": 0.46, + "grad_norm": 32.75, + "grad_norm_var": 6.034309895833333, + "learning_rate": 0.0001, + "loss": 8.2813, + "loss/crossentropy": 2.1869849786162376, + "loss/hidden": 3.678125, + "loss/jsd": 0.0, + "loss/logits": 0.2445020995102823, + "step": 4600 + }, + { + "epoch": 0.461, + "grad_norm": 33.25, + "grad_norm_var": 16.960416666666667, + "learning_rate": 0.0001, + "loss": 8.2774, + "loss/crossentropy": 2.3401444420218467, + "loss/hidden": 3.644140625, + "loss/jsd": 0.0, + "loss/logits": 0.2346777945756912, + "step": 4610 + }, + { + "epoch": 0.462, + "grad_norm": 31.875, + "grad_norm_var": 20.257747395833334, + "learning_rate": 0.0001, + "loss": 8.261, + "loss/crossentropy": 2.2197701543569566, + "loss/hidden": 3.671484375, + "loss/jsd": 0.0, + "loss/logits": 0.24417277611792088, + "step": 4620 + }, + { + "epoch": 0.463, + "grad_norm": 39.75, + "grad_norm_var": 21.111458333333335, + "learning_rate": 0.0001, + "loss": 8.1879, + "loss/crossentropy": 2.2979017451405523, + "loss/hidden": 3.584765625, + "loss/jsd": 0.0, + "loss/logits": 0.24459463655948638, + "step": 4630 + }, + { + "epoch": 0.464, + "grad_norm": 37.75, + "grad_norm_var": 18.424739583333334, + "learning_rate": 0.0001, + "loss": 8.2222, + "loss/crossentropy": 2.1899428203701974, + "loss/hidden": 3.63828125, + "loss/jsd": 0.0, + "loss/logits": 0.23625375218689443, + "step": 4640 + }, + { + "epoch": 0.465, + "grad_norm": 33.0, + "grad_norm_var": 5.676822916666667, + "learning_rate": 0.0001, + "loss": 8.2134, + "loss/crossentropy": 2.173795387148857, + "loss/hidden": 3.653515625, + "loss/jsd": 0.0, + "loss/logits": 0.21926050689071416, + "step": 4650 + }, + { + "epoch": 0.466, + "grad_norm": 32.75, + "grad_norm_var": 5.024739583333333, + "learning_rate": 0.0001, + "loss": 8.2134, + "loss/crossentropy": 2.2807129830121995, + "loss/hidden": 3.5890625, + "loss/jsd": 0.0, + "loss/logits": 0.22838456649333239, + "step": 4660 + }, + { + "epoch": 0.467, + "grad_norm": 32.75, + "grad_norm_var": 7.588541666666667, + "learning_rate": 0.0001, + "loss": 8.2508, + "loss/crossentropy": 2.19968124628067, + "loss/hidden": 3.590625, + "loss/jsd": 0.0, + "loss/logits": 0.23003219701349736, + "step": 4670 + }, + { + "epoch": 0.468, + "grad_norm": 32.25, + "grad_norm_var": 8.268489583333333, + "learning_rate": 0.0001, + "loss": 8.2723, + "loss/crossentropy": 2.3073908984661102, + "loss/hidden": 3.621484375, + "loss/jsd": 0.0, + "loss/logits": 0.23195548579096795, + "step": 4680 + }, + { + "epoch": 0.469, + "grad_norm": 34.25, + "grad_norm_var": 7.398372395833333, + "learning_rate": 0.0001, + "loss": 8.3115, + "loss/crossentropy": 2.251572087407112, + "loss/hidden": 3.615234375, + "loss/jsd": 0.0, + "loss/logits": 0.24007561076432465, + "step": 4690 + }, + { + "epoch": 0.47, + "grad_norm": 37.25, + "grad_norm_var": 12.067708333333334, + "learning_rate": 0.0001, + "loss": 8.215, + "loss/crossentropy": 2.179315264523029, + "loss/hidden": 3.614453125, + "loss/jsd": 0.0, + "loss/logits": 0.23048642594367266, + "step": 4700 + }, + { + "epoch": 0.471, + "grad_norm": 33.5, + "grad_norm_var": 9.384830729166667, + "learning_rate": 0.0001, + "loss": 8.4657, + "loss/crossentropy": 2.304041627049446, + "loss/hidden": 3.705859375, + "loss/jsd": 0.0, + "loss/logits": 0.2532807156443596, + "step": 4710 + }, + { + "epoch": 0.472, + "grad_norm": 34.75, + "grad_norm_var": 2.5403116373864177e+18, + "learning_rate": 0.0001, + "loss": 8.3845, + "loss/crossentropy": 2.28207755535841, + "loss/hidden": 3.6125, + "loss/jsd": 0.0, + "loss/logits": 0.24173217974603176, + "step": 4720 + }, + { + "epoch": 0.473, + "grad_norm": 31.375, + "grad_norm_var": 2.8580729166666665, + "learning_rate": 0.0001, + "loss": 8.1924, + "loss/crossentropy": 2.317093315720558, + "loss/hidden": 3.50859375, + "loss/jsd": 0.0, + "loss/logits": 0.22850329093635083, + "step": 4730 + }, + { + "epoch": 0.474, + "grad_norm": 38.5, + "grad_norm_var": 55.86354166666667, + "learning_rate": 0.0001, + "loss": 8.205, + "loss/crossentropy": 2.2346624046564103, + "loss/hidden": 3.76015625, + "loss/jsd": 0.0, + "loss/logits": 0.2535475058481097, + "step": 4740 + }, + { + "epoch": 0.475, + "grad_norm": 32.75, + "grad_norm_var": 6.105989583333334, + "learning_rate": 0.0001, + "loss": 8.2004, + "loss/crossentropy": 2.205992843210697, + "loss/hidden": 3.5, + "loss/jsd": 0.0, + "loss/logits": 0.2157002430409193, + "step": 4750 + }, + { + "epoch": 0.476, + "grad_norm": 42.5, + "grad_norm_var": 7.551041666666666, + "learning_rate": 0.0001, + "loss": 8.2493, + "loss/crossentropy": 2.2944780766963957, + "loss/hidden": 3.553515625, + "loss/jsd": 0.0, + "loss/logits": 0.2302501540631056, + "step": 4760 + }, + { + "epoch": 0.477, + "grad_norm": 34.5, + "grad_norm_var": 54.297916666666666, + "learning_rate": 0.0001, + "loss": 8.2422, + "loss/crossentropy": 2.349091801047325, + "loss/hidden": 3.726953125, + "loss/jsd": 0.0, + "loss/logits": 0.25370817482471464, + "step": 4770 + }, + { + "epoch": 0.478, + "grad_norm": 35.25, + "grad_norm_var": 48.0119140625, + "learning_rate": 0.0001, + "loss": 8.1697, + "loss/crossentropy": 2.419427090883255, + "loss/hidden": 3.5984375, + "loss/jsd": 0.0, + "loss/logits": 0.23952311277389526, + "step": 4780 + }, + { + "epoch": 0.479, + "grad_norm": 44.0, + "grad_norm_var": 34.6509765625, + "learning_rate": 0.0001, + "loss": 8.2147, + "loss/crossentropy": 2.2663041442632674, + "loss/hidden": 3.512890625, + "loss/jsd": 0.0, + "loss/logits": 0.22062067724764348, + "step": 4790 + }, + { + "epoch": 0.48, + "grad_norm": 30.375, + "grad_norm_var": 38.708333333333336, + "learning_rate": 0.0001, + "loss": 8.1478, + "loss/crossentropy": 2.3492169111967085, + "loss/hidden": 3.63359375, + "loss/jsd": 0.0, + "loss/logits": 0.23971957936882973, + "step": 4800 + }, + { + "epoch": 0.481, + "grad_norm": 36.75, + "grad_norm_var": 9.3056640625, + "learning_rate": 0.0001, + "loss": 8.165, + "loss/crossentropy": 2.232720893621445, + "loss/hidden": 3.580078125, + "loss/jsd": 0.0, + "loss/logits": 0.22206582501530647, + "step": 4810 + }, + { + "epoch": 0.482, + "grad_norm": 34.25, + "grad_norm_var": 6.8197265625, + "learning_rate": 0.0001, + "loss": 8.1216, + "loss/crossentropy": 2.1783568069338797, + "loss/hidden": 3.4515625, + "loss/jsd": 0.0, + "loss/logits": 0.21557580903172494, + "step": 4820 + }, + { + "epoch": 0.483, + "grad_norm": 31.5, + "grad_norm_var": 6.039322916666666, + "learning_rate": 0.0001, + "loss": 8.2857, + "loss/crossentropy": 2.3961785644292832, + "loss/hidden": 3.640234375, + "loss/jsd": 0.0, + "loss/logits": 0.257023797929287, + "step": 4830 + }, + { + "epoch": 0.484, + "grad_norm": 33.0, + "grad_norm_var": 12.29375, + "learning_rate": 0.0001, + "loss": 8.1802, + "loss/crossentropy": 2.310921123623848, + "loss/hidden": 3.526953125, + "loss/jsd": 0.0, + "loss/logits": 0.23252013735473157, + "step": 4840 + }, + { + "epoch": 0.485, + "grad_norm": 33.25, + "grad_norm_var": 23.69140625, + "learning_rate": 0.0001, + "loss": 8.2647, + "loss/crossentropy": 2.152234472334385, + "loss/hidden": 3.6578125, + "loss/jsd": 0.0, + "loss/logits": 0.2241989640519023, + "step": 4850 + }, + { + "epoch": 0.486, + "grad_norm": 32.75, + "grad_norm_var": 26.65390625, + "learning_rate": 0.0001, + "loss": 8.2819, + "loss/crossentropy": 2.1197937928140163, + "loss/hidden": 3.702734375, + "loss/jsd": 0.0, + "loss/logits": 0.24686675220727922, + "step": 4860 + }, + { + "epoch": 0.487, + "grad_norm": 37.25, + "grad_norm_var": 13.0228515625, + "learning_rate": 0.0001, + "loss": 8.3156, + "loss/crossentropy": 2.345510223507881, + "loss/hidden": 3.571484375, + "loss/jsd": 0.0, + "loss/logits": 0.22903156131505967, + "step": 4870 + }, + { + "epoch": 0.488, + "grad_norm": 34.5, + "grad_norm_var": 6.5337890625, + "learning_rate": 0.0001, + "loss": 8.1946, + "loss/crossentropy": 2.1908657550811768, + "loss/hidden": 3.682421875, + "loss/jsd": 0.0, + "loss/logits": 0.23578502163290976, + "step": 4880 + }, + { + "epoch": 0.489, + "grad_norm": 33.75, + "grad_norm_var": 24.545572916666668, + "learning_rate": 0.0001, + "loss": 8.1165, + "loss/crossentropy": 2.180183355510235, + "loss/hidden": 3.661328125, + "loss/jsd": 0.0, + "loss/logits": 0.23667961843311786, + "step": 4890 + }, + { + "epoch": 0.49, + "grad_norm": 32.75, + "grad_norm_var": 58.805989583333336, + "learning_rate": 0.0001, + "loss": 8.127, + "loss/crossentropy": 2.206071509420872, + "loss/hidden": 3.51796875, + "loss/jsd": 0.0, + "loss/logits": 0.21433540284633637, + "step": 4900 + }, + { + "epoch": 0.491, + "grad_norm": 38.0, + "grad_norm_var": 50.01223958333333, + "learning_rate": 0.0001, + "loss": 8.1544, + "loss/crossentropy": 2.1096328511834144, + "loss/hidden": 3.61484375, + "loss/jsd": 0.0, + "loss/logits": 0.24193457532674073, + "step": 4910 + }, + { + "epoch": 0.492, + "grad_norm": 39.25, + "grad_norm_var": 17.08125, + "learning_rate": 0.0001, + "loss": 8.202, + "loss/crossentropy": 2.2372330710291863, + "loss/hidden": 3.63203125, + "loss/jsd": 0.0, + "loss/logits": 0.23599924352020024, + "step": 4920 + }, + { + "epoch": 0.493, + "grad_norm": 33.25, + "grad_norm_var": 12.742643229166667, + "learning_rate": 0.0001, + "loss": 8.1759, + "loss/crossentropy": 2.196950948238373, + "loss/hidden": 3.638671875, + "loss/jsd": 0.0, + "loss/logits": 0.24246960394084455, + "step": 4930 + }, + { + "epoch": 0.494, + "grad_norm": 40.5, + "grad_norm_var": 6.883072916666666, + "learning_rate": 0.0001, + "loss": 8.1278, + "loss/crossentropy": 2.3560511782765388, + "loss/hidden": 3.633984375, + "loss/jsd": 0.0, + "loss/logits": 0.2382162045687437, + "step": 4940 + }, + { + "epoch": 0.495, + "grad_norm": 35.0, + "grad_norm_var": 11.6603515625, + "learning_rate": 0.0001, + "loss": 8.2982, + "loss/crossentropy": 2.3035822331905367, + "loss/hidden": 3.64140625, + "loss/jsd": 0.0, + "loss/logits": 0.2485156562179327, + "step": 4950 + }, + { + "epoch": 0.496, + "grad_norm": 34.25, + "grad_norm_var": 14.192708333333334, + "learning_rate": 0.0001, + "loss": 8.1579, + "loss/crossentropy": 2.184766189754009, + "loss/hidden": 3.637109375, + "loss/jsd": 0.0, + "loss/logits": 0.23721186630427837, + "step": 4960 + }, + { + "epoch": 0.497, + "grad_norm": 33.5, + "grad_norm_var": 13.871809895833334, + "learning_rate": 0.0001, + "loss": 8.1975, + "loss/crossentropy": 2.1983452700078487, + "loss/hidden": 3.697265625, + "loss/jsd": 0.0, + "loss/logits": 0.24081590361893176, + "step": 4970 + }, + { + "epoch": 0.498, + "grad_norm": 43.25, + "grad_norm_var": 13.948372395833333, + "learning_rate": 0.0001, + "loss": 8.2262, + "loss/crossentropy": 2.3249034196138383, + "loss/hidden": 3.56875, + "loss/jsd": 0.0, + "loss/logits": 0.234759721159935, + "step": 4980 + }, + { + "epoch": 0.499, + "grad_norm": 31.5, + "grad_norm_var": 11.167708333333334, + "learning_rate": 0.0001, + "loss": 8.1488, + "loss/crossentropy": 2.2298896074295045, + "loss/hidden": 3.6546875, + "loss/jsd": 0.0, + "loss/logits": 0.2505023546516895, + "step": 4990 + }, + { + "epoch": 0.5, + "grad_norm": 38.75, + "grad_norm_var": 10.43125, + "learning_rate": 0.0001, + "loss": 8.1769, + "loss/crossentropy": 2.201507803052664, + "loss/hidden": 3.520703125, + "loss/jsd": 0.0, + "loss/logits": 0.21926793903112413, + "step": 5000 + }, + { + "epoch": 0.501, + "grad_norm": 44.75, + "grad_norm_var": 16.2853515625, + "learning_rate": 0.0001, + "loss": 8.039, + "loss/crossentropy": 2.270238833874464, + "loss/hidden": 3.613671875, + "loss/jsd": 0.0, + "loss/logits": 0.23682384472340345, + "step": 5010 + }, + { + "epoch": 0.502, + "grad_norm": 31.75, + "grad_norm_var": 14.38515625, + "learning_rate": 0.0001, + "loss": 8.1599, + "loss/crossentropy": 2.108400362730026, + "loss/hidden": 3.718359375, + "loss/jsd": 0.0, + "loss/logits": 0.2417622933164239, + "step": 5020 + }, + { + "epoch": 0.503, + "grad_norm": 33.0, + "grad_norm_var": 2.8989583333333333, + "learning_rate": 0.0001, + "loss": 8.1698, + "loss/crossentropy": 2.3586475804448126, + "loss/hidden": 3.571875, + "loss/jsd": 0.0, + "loss/logits": 0.23084877729415892, + "step": 5030 + }, + { + "epoch": 0.504, + "grad_norm": 32.5, + "grad_norm_var": 1.962513882217063e+18, + "learning_rate": 0.0001, + "loss": 8.293, + "loss/crossentropy": 2.308009374141693, + "loss/hidden": 3.631640625, + "loss/jsd": 0.0, + "loss/logits": 0.25030199717730284, + "step": 5040 + }, + { + "epoch": 0.505, + "grad_norm": 34.25, + "grad_norm_var": 1.962513880139065e+18, + "learning_rate": 0.0001, + "loss": 8.2269, + "loss/crossentropy": 2.2477807879447935, + "loss/hidden": 3.63046875, + "loss/jsd": 0.0, + "loss/logits": 0.22722288742661476, + "step": 5050 + }, + { + "epoch": 0.506, + "grad_norm": 31.0, + "grad_norm_var": 230.7962890625, + "learning_rate": 0.0001, + "loss": 8.0995, + "loss/crossentropy": 2.113031893968582, + "loss/hidden": 3.625390625, + "loss/jsd": 0.0, + "loss/logits": 0.2260434988886118, + "step": 5060 + }, + { + "epoch": 0.507, + "grad_norm": 29.5, + "grad_norm_var": 226.95462239583333, + "learning_rate": 0.0001, + "loss": 8.1254, + "loss/crossentropy": 2.1494341671466826, + "loss/hidden": 3.628125, + "loss/jsd": 0.0, + "loss/logits": 0.2316014662384987, + "step": 5070 + }, + { + "epoch": 0.508, + "grad_norm": 42.25, + "grad_norm_var": 17.206184895833335, + "learning_rate": 0.0001, + "loss": 8.3222, + "loss/crossentropy": 2.409487584233284, + "loss/hidden": 3.51953125, + "loss/jsd": 0.0, + "loss/logits": 0.24138148501515388, + "step": 5080 + }, + { + "epoch": 0.509, + "grad_norm": 33.0, + "grad_norm_var": 15.231184895833334, + "learning_rate": 0.0001, + "loss": 8.0576, + "loss/crossentropy": 2.285913223773241, + "loss/hidden": 3.528515625, + "loss/jsd": 0.0, + "loss/logits": 0.2232502717524767, + "step": 5090 + }, + { + "epoch": 0.51, + "grad_norm": 33.5, + "grad_norm_var": 15.065559895833333, + "learning_rate": 0.0001, + "loss": 8.1747, + "loss/crossentropy": 2.180917738378048, + "loss/hidden": 3.56328125, + "loss/jsd": 0.0, + "loss/logits": 0.23142165634781123, + "step": 5100 + }, + { + "epoch": 0.511, + "grad_norm": 32.25, + "grad_norm_var": 13.1166015625, + "learning_rate": 0.0001, + "loss": 8.1417, + "loss/crossentropy": 2.226011593639851, + "loss/hidden": 3.506640625, + "loss/jsd": 0.0, + "loss/logits": 0.22545368764549495, + "step": 5110 + }, + { + "epoch": 0.512, + "grad_norm": 33.25, + "grad_norm_var": 4.7572265625, + "learning_rate": 0.0001, + "loss": 8.1568, + "loss/crossentropy": 2.2642487674951552, + "loss/hidden": 3.626953125, + "loss/jsd": 0.0, + "loss/logits": 0.24627051521092652, + "step": 5120 + }, + { + "epoch": 0.513, + "grad_norm": 29.375, + "grad_norm_var": 8.576822916666666, + "learning_rate": 0.0001, + "loss": 8.1412, + "loss/crossentropy": 2.1210575878620146, + "loss/hidden": 3.603125, + "loss/jsd": 0.0, + "loss/logits": 0.22232303582131863, + "step": 5130 + }, + { + "epoch": 0.514, + "grad_norm": 36.25, + "grad_norm_var": 7.51015625, + "learning_rate": 0.0001, + "loss": 8.1105, + "loss/crossentropy": 2.338705539703369, + "loss/hidden": 3.61796875, + "loss/jsd": 0.0, + "loss/logits": 0.2322886861860752, + "step": 5140 + }, + { + "epoch": 0.515, + "grad_norm": 32.25, + "grad_norm_var": 9.846809895833333, + "learning_rate": 0.0001, + "loss": 8.1908, + "loss/crossentropy": 2.2111464768648146, + "loss/hidden": 3.72109375, + "loss/jsd": 0.0, + "loss/logits": 0.26425624899566175, + "step": 5150 + }, + { + "epoch": 0.516, + "grad_norm": 28.875, + "grad_norm_var": 9.946809895833333, + "learning_rate": 0.0001, + "loss": 8.0375, + "loss/crossentropy": 2.176833947002888, + "loss/hidden": 3.54765625, + "loss/jsd": 0.0, + "loss/logits": 0.22021548971533775, + "step": 5160 + }, + { + "epoch": 0.517, + "grad_norm": 34.0, + "grad_norm_var": 4.706705729166667, + "learning_rate": 0.0001, + "loss": 8.1521, + "loss/crossentropy": 2.1654283188283445, + "loss/hidden": 3.48203125, + "loss/jsd": 0.0, + "loss/logits": 0.2115080550312996, + "step": 5170 + }, + { + "epoch": 0.518, + "grad_norm": 30.25, + "grad_norm_var": 5.541666666666667, + "learning_rate": 0.0001, + "loss": 8.13, + "loss/crossentropy": 2.2458599150180816, + "loss/hidden": 3.596484375, + "loss/jsd": 0.0, + "loss/logits": 0.22666897978633643, + "step": 5180 + }, + { + "epoch": 0.519, + "grad_norm": 44.75, + "grad_norm_var": 14.142122395833333, + "learning_rate": 0.0001, + "loss": 8.145, + "loss/crossentropy": 2.317767137289047, + "loss/hidden": 3.5671875, + "loss/jsd": 0.0, + "loss/logits": 0.23820882234722376, + "step": 5190 + }, + { + "epoch": 0.52, + "grad_norm": 32.5, + "grad_norm_var": 23.218684895833334, + "learning_rate": 0.0001, + "loss": 8.1323, + "loss/crossentropy": 2.279913380742073, + "loss/hidden": 3.558984375, + "loss/jsd": 0.0, + "loss/logits": 0.24836393278092145, + "step": 5200 + }, + { + "epoch": 0.521, + "grad_norm": 31.875, + "grad_norm_var": 16.846875, + "learning_rate": 0.0001, + "loss": 8.2041, + "loss/crossentropy": 2.201883518695831, + "loss/hidden": 3.57890625, + "loss/jsd": 0.0, + "loss/logits": 0.22954922150820495, + "step": 5210 + }, + { + "epoch": 0.522, + "grad_norm": 34.25, + "grad_norm_var": 221.16223958333333, + "learning_rate": 0.0001, + "loss": 8.273, + "loss/crossentropy": 2.2926857471466064, + "loss/hidden": 3.541796875, + "loss/jsd": 0.0, + "loss/logits": 0.22256891019642353, + "step": 5220 + }, + { + "epoch": 0.523, + "grad_norm": 75.0, + "grad_norm_var": 233.03098958333334, + "learning_rate": 0.0001, + "loss": 8.1559, + "loss/crossentropy": 2.1607275292277337, + "loss/hidden": 3.65859375, + "loss/jsd": 0.0, + "loss/logits": 0.24259125851094723, + "step": 5230 + }, + { + "epoch": 0.524, + "grad_norm": 33.5, + "grad_norm_var": 170.5353515625, + "learning_rate": 0.0001, + "loss": 8.1314, + "loss/crossentropy": 2.2264937654137613, + "loss/hidden": 3.653125, + "loss/jsd": 0.0, + "loss/logits": 0.23244266752153636, + "step": 5240 + }, + { + "epoch": 0.525, + "grad_norm": 34.0, + "grad_norm_var": 69.98515625, + "learning_rate": 0.0001, + "loss": 8.0757, + "loss/crossentropy": 2.263314816355705, + "loss/hidden": 3.6921875, + "loss/jsd": 0.0, + "loss/logits": 0.2497670866549015, + "step": 5250 + }, + { + "epoch": 0.526, + "grad_norm": 32.75, + "grad_norm_var": 15.91640625, + "learning_rate": 0.0001, + "loss": 8.1746, + "loss/crossentropy": 2.2392116367816923, + "loss/hidden": 3.659765625, + "loss/jsd": 0.0, + "loss/logits": 0.24461503997445105, + "step": 5260 + }, + { + "epoch": 0.527, + "grad_norm": 30.875, + "grad_norm_var": 118.5931640625, + "learning_rate": 0.0001, + "loss": 8.145, + "loss/crossentropy": 2.184428018331528, + "loss/hidden": 3.6265625, + "loss/jsd": 0.0, + "loss/logits": 0.24789600986987353, + "step": 5270 + }, + { + "epoch": 0.528, + "grad_norm": 40.5, + "grad_norm_var": 127.34791666666666, + "learning_rate": 0.0001, + "loss": 8.0442, + "loss/crossentropy": 2.1109130561351774, + "loss/hidden": 3.528125, + "loss/jsd": 0.0, + "loss/logits": 0.21775138471275568, + "step": 5280 + }, + { + "epoch": 0.529, + "grad_norm": 34.5, + "grad_norm_var": 6.623958333333333, + "learning_rate": 0.0001, + "loss": 8.1308, + "loss/crossentropy": 2.386467677354813, + "loss/hidden": 3.607421875, + "loss/jsd": 0.0, + "loss/logits": 0.24021831918507813, + "step": 5290 + }, + { + "epoch": 0.53, + "grad_norm": 34.25, + "grad_norm_var": 7.5666015625, + "learning_rate": 0.0001, + "loss": 8.1256, + "loss/crossentropy": 2.3109169751405716, + "loss/hidden": 3.630859375, + "loss/jsd": 0.0, + "loss/logits": 0.2501339312642813, + "step": 5300 + }, + { + "epoch": 0.531, + "grad_norm": 31.875, + "grad_norm_var": 12.195572916666666, + "learning_rate": 0.0001, + "loss": 8.1229, + "loss/crossentropy": 2.346800622344017, + "loss/hidden": 3.608203125, + "loss/jsd": 0.0, + "loss/logits": 0.2536924373358488, + "step": 5310 + }, + { + "epoch": 0.532, + "grad_norm": 31.875, + "grad_norm_var": 9.997330729166666, + "learning_rate": 0.0001, + "loss": 8.0104, + "loss/crossentropy": 2.1395985931158066, + "loss/hidden": 3.471875, + "loss/jsd": 0.0, + "loss/logits": 0.21648342311382293, + "step": 5320 + }, + { + "epoch": 0.533, + "grad_norm": 32.25, + "grad_norm_var": 54.80358072916667, + "learning_rate": 0.0001, + "loss": 8.2808, + "loss/crossentropy": 2.072698312997818, + "loss/hidden": 3.70625, + "loss/jsd": 0.0, + "loss/logits": 0.21971321273595096, + "step": 5330 + }, + { + "epoch": 0.534, + "grad_norm": 37.75, + "grad_norm_var": 582.04140625, + "learning_rate": 0.0001, + "loss": 8.4396, + "loss/crossentropy": 2.168602865189314, + "loss/hidden": 3.68828125, + "loss/jsd": 0.0, + "loss/logits": 0.22807842567563058, + "step": 5340 + }, + { + "epoch": 0.535, + "grad_norm": 36.0, + "grad_norm_var": 17.0619140625, + "learning_rate": 0.0001, + "loss": 8.2354, + "loss/crossentropy": 2.212322035431862, + "loss/hidden": 3.579296875, + "loss/jsd": 0.0, + "loss/logits": 0.21836955063045024, + "step": 5350 + }, + { + "epoch": 0.536, + "grad_norm": 37.75, + "grad_norm_var": 18.780989583333334, + "learning_rate": 0.0001, + "loss": 8.2718, + "loss/crossentropy": 2.1710034780204297, + "loss/hidden": 3.656640625, + "loss/jsd": 0.0, + "loss/logits": 0.2387496206909418, + "step": 5360 + }, + { + "epoch": 0.537, + "grad_norm": 29.125, + "grad_norm_var": 27.276041666666668, + "learning_rate": 0.0001, + "loss": 8.2691, + "loss/crossentropy": 2.097558119148016, + "loss/hidden": 3.680078125, + "loss/jsd": 0.0, + "loss/logits": 0.2329912935383618, + "step": 5370 + }, + { + "epoch": 0.538, + "grad_norm": 37.5, + "grad_norm_var": 18.0181640625, + "learning_rate": 0.0001, + "loss": 8.057, + "loss/crossentropy": 2.275981144607067, + "loss/hidden": 3.55703125, + "loss/jsd": 0.0, + "loss/logits": 0.22314830794930457, + "step": 5380 + }, + { + "epoch": 0.539, + "grad_norm": 34.25, + "grad_norm_var": 19.930208333333333, + "learning_rate": 0.0001, + "loss": 8.182, + "loss/crossentropy": 2.184271165728569, + "loss/hidden": 3.6609375, + "loss/jsd": 0.0, + "loss/logits": 0.23054859917610884, + "step": 5390 + }, + { + "epoch": 0.54, + "grad_norm": 34.0, + "grad_norm_var": 17.333072916666666, + "learning_rate": 0.0001, + "loss": 8.3439, + "loss/crossentropy": 2.480144701898098, + "loss/hidden": 3.701171875, + "loss/jsd": 0.0, + "loss/logits": 0.2607876468449831, + "step": 5400 + }, + { + "epoch": 0.541, + "grad_norm": 33.75, + "grad_norm_var": 14.249739583333334, + "learning_rate": 0.0001, + "loss": 8.2028, + "loss/crossentropy": 2.2421235501766206, + "loss/hidden": 3.637890625, + "loss/jsd": 0.0, + "loss/logits": 0.23026540800929068, + "step": 5410 + }, + { + "epoch": 0.542, + "grad_norm": 33.0, + "grad_norm_var": 14.408072916666667, + "learning_rate": 0.0001, + "loss": 8.122, + "loss/crossentropy": 2.173307144641876, + "loss/hidden": 3.64453125, + "loss/jsd": 0.0, + "loss/logits": 0.22846251353621483, + "step": 5420 + }, + { + "epoch": 0.543, + "grad_norm": 33.0, + "grad_norm_var": 5.3, + "learning_rate": 0.0001, + "loss": 8.2194, + "loss/crossentropy": 2.3099235713481905, + "loss/hidden": 3.629296875, + "loss/jsd": 0.0, + "loss/logits": 0.23289041519165038, + "step": 5430 + }, + { + "epoch": 0.544, + "grad_norm": 36.0, + "grad_norm_var": 28.040625, + "learning_rate": 0.0001, + "loss": 8.1837, + "loss/crossentropy": 2.2322505958378316, + "loss/hidden": 3.643359375, + "loss/jsd": 0.0, + "loss/logits": 0.2281514243222773, + "step": 5440 + }, + { + "epoch": 0.545, + "grad_norm": 30.0, + "grad_norm_var": 69.69166666666666, + "learning_rate": 0.0001, + "loss": 8.1516, + "loss/crossentropy": 2.199453258514404, + "loss/hidden": 3.5890625, + "loss/jsd": 0.0, + "loss/logits": 0.22161313518881798, + "step": 5450 + }, + { + "epoch": 0.546, + "grad_norm": 36.25, + "grad_norm_var": 88.72890625, + "learning_rate": 0.0001, + "loss": 8.305, + "loss/crossentropy": 2.3247879207134248, + "loss/hidden": 3.74609375, + "loss/jsd": 0.0, + "loss/logits": 0.2331052988767624, + "step": 5460 + }, + { + "epoch": 0.547, + "grad_norm": 50.25, + "grad_norm_var": 49.67265625, + "learning_rate": 0.0001, + "loss": 8.1121, + "loss/crossentropy": 2.2907343961298468, + "loss/hidden": 3.598828125, + "loss/jsd": 0.0, + "loss/logits": 0.22796698454767467, + "step": 5470 + }, + { + "epoch": 0.548, + "grad_norm": 34.5, + "grad_norm_var": 27.73125, + "learning_rate": 0.0001, + "loss": 8.1348, + "loss/crossentropy": 2.4852760285139084, + "loss/hidden": 3.5296875, + "loss/jsd": 0.0, + "loss/logits": 0.23372339643537998, + "step": 5480 + }, + { + "epoch": 0.549, + "grad_norm": 33.0, + "grad_norm_var": 2.703285648974309e+18, + "learning_rate": 0.0001, + "loss": 8.0635, + "loss/crossentropy": 2.3434904247522352, + "loss/hidden": 3.725390625, + "loss/jsd": 0.0, + "loss/logits": 0.21989205628633499, + "step": 5490 + }, + { + "epoch": 0.55, + "grad_norm": 30.5, + "grad_norm_var": 6.481184895833334, + "learning_rate": 0.0001, + "loss": 8.1213, + "loss/crossentropy": 2.048020973801613, + "loss/hidden": 3.53046875, + "loss/jsd": 0.0, + "loss/logits": 0.21088404105976225, + "step": 5500 + }, + { + "epoch": 0.551, + "grad_norm": 41.0, + "grad_norm_var": 16.025, + "learning_rate": 0.0001, + "loss": 8.143, + "loss/crossentropy": 2.246925861388445, + "loss/hidden": 3.616796875, + "loss/jsd": 0.0, + "loss/logits": 0.2380803508684039, + "step": 5510 + }, + { + "epoch": 0.552, + "grad_norm": 34.0, + "grad_norm_var": 19.940625, + "learning_rate": 0.0001, + "loss": 8.1266, + "loss/crossentropy": 2.306339371204376, + "loss/hidden": 3.707421875, + "loss/jsd": 0.0, + "loss/logits": 0.2542409796267748, + "step": 5520 + }, + { + "epoch": 0.553, + "grad_norm": 30.25, + "grad_norm_var": 25.34375, + "learning_rate": 0.0001, + "loss": 8.1711, + "loss/crossentropy": 2.172018714249134, + "loss/hidden": 3.602734375, + "loss/jsd": 0.0, + "loss/logits": 0.24370079562067987, + "step": 5530 + }, + { + "epoch": 0.554, + "grad_norm": 42.25, + "grad_norm_var": 30.013541666666665, + "learning_rate": 0.0001, + "loss": 8.1492, + "loss/crossentropy": 2.22998360991478, + "loss/hidden": 3.625390625, + "loss/jsd": 0.0, + "loss/logits": 0.23992773257195948, + "step": 5540 + }, + { + "epoch": 0.555, + "grad_norm": 32.25, + "grad_norm_var": 28.613541666666666, + "learning_rate": 0.0001, + "loss": 8.0695, + "loss/crossentropy": 2.2180883288383484, + "loss/hidden": 3.598828125, + "loss/jsd": 0.0, + "loss/logits": 0.22950777132064104, + "step": 5550 + }, + { + "epoch": 0.556, + "grad_norm": 33.0, + "grad_norm_var": 34.692708333333336, + "learning_rate": 0.0001, + "loss": 8.1162, + "loss/crossentropy": 2.174109402298927, + "loss/hidden": 3.702734375, + "loss/jsd": 0.0, + "loss/logits": 0.24184305276721715, + "step": 5560 + }, + { + "epoch": 0.557, + "grad_norm": 34.0, + "grad_norm_var": 7.314583333333333, + "learning_rate": 0.0001, + "loss": 8.0114, + "loss/crossentropy": 2.1175956279039383, + "loss/hidden": 3.53828125, + "loss/jsd": 0.0, + "loss/logits": 0.21476623937487602, + "step": 5570 + }, + { + "epoch": 0.558, + "grad_norm": 35.25, + "grad_norm_var": 19.8119140625, + "learning_rate": 0.0001, + "loss": 8.1025, + "loss/crossentropy": 2.2917901635169984, + "loss/hidden": 3.558984375, + "loss/jsd": 0.0, + "loss/logits": 0.22450571469962596, + "step": 5580 + }, + { + "epoch": 0.559, + "grad_norm": 38.5, + "grad_norm_var": 21.97890625, + "learning_rate": 0.0001, + "loss": 8.2385, + "loss/crossentropy": 2.3675080120563505, + "loss/hidden": 3.63828125, + "loss/jsd": 0.0, + "loss/logits": 0.23681335002183915, + "step": 5590 + }, + { + "epoch": 0.56, + "grad_norm": 33.0, + "grad_norm_var": 9.764583333333333, + "learning_rate": 0.0001, + "loss": 8.1467, + "loss/crossentropy": 2.3383423417806624, + "loss/hidden": 3.623046875, + "loss/jsd": 0.0, + "loss/logits": 0.23495447412133216, + "step": 5600 + }, + { + "epoch": 0.561, + "grad_norm": 34.25, + "grad_norm_var": 11.692643229166666, + "learning_rate": 0.0001, + "loss": 8.1075, + "loss/crossentropy": 2.2219532161951063, + "loss/hidden": 3.581640625, + "loss/jsd": 0.0, + "loss/logits": 0.21968780737370253, + "step": 5610 + }, + { + "epoch": 0.562, + "grad_norm": 29.875, + "grad_norm_var": 19.882747395833334, + "learning_rate": 0.0001, + "loss": 8.0262, + "loss/crossentropy": 2.121725457906723, + "loss/hidden": 3.564453125, + "loss/jsd": 0.0, + "loss/logits": 0.22616409026086332, + "step": 5620 + }, + { + "epoch": 0.563, + "grad_norm": 31.625, + "grad_norm_var": 1.869627140463989e+18, + "learning_rate": 0.0001, + "loss": 8.2844, + "loss/crossentropy": 2.2004577577114106, + "loss/hidden": 3.651171875, + "loss/jsd": 0.0, + "loss/logits": 0.22547926437109708, + "step": 5630 + }, + { + "epoch": 0.564, + "grad_norm": 32.0, + "grad_norm_var": 4.611458333333333, + "learning_rate": 0.0001, + "loss": 8.1244, + "loss/crossentropy": 2.1516154944896697, + "loss/hidden": 3.55078125, + "loss/jsd": 0.0, + "loss/logits": 0.2172885647043586, + "step": 5640 + }, + { + "epoch": 0.565, + "grad_norm": 30.5, + "grad_norm_var": 7.317708333333333, + "learning_rate": 0.0001, + "loss": 8.0514, + "loss/crossentropy": 2.2103342309594156, + "loss/hidden": 3.6140625, + "loss/jsd": 0.0, + "loss/logits": 0.22790345773100854, + "step": 5650 + }, + { + "epoch": 0.566, + "grad_norm": 34.25, + "grad_norm_var": 13.6587890625, + "learning_rate": 0.0001, + "loss": 8.0864, + "loss/crossentropy": 2.2035325288772585, + "loss/hidden": 3.57734375, + "loss/jsd": 0.0, + "loss/logits": 0.23142583221197127, + "step": 5660 + }, + { + "epoch": 0.567, + "grad_norm": 31.625, + "grad_norm_var": 9.45625, + "learning_rate": 0.0001, + "loss": 8.0716, + "loss/crossentropy": 2.1144707940518854, + "loss/hidden": 3.555078125, + "loss/jsd": 0.0, + "loss/logits": 0.21162977050989867, + "step": 5670 + }, + { + "epoch": 0.568, + "grad_norm": 32.5, + "grad_norm_var": 31.39140625, + "learning_rate": 0.0001, + "loss": 8.096, + "loss/crossentropy": 2.1229008197784425, + "loss/hidden": 3.554296875, + "loss/jsd": 0.0, + "loss/logits": 0.2217079123482108, + "step": 5680 + }, + { + "epoch": 0.569, + "grad_norm": 35.5, + "grad_norm_var": 30.71875, + "learning_rate": 0.0001, + "loss": 8.0824, + "loss/crossentropy": 2.1256051540374754, + "loss/hidden": 3.53046875, + "loss/jsd": 0.0, + "loss/logits": 0.22356193587183953, + "step": 5690 + }, + { + "epoch": 0.57, + "grad_norm": 30.125, + "grad_norm_var": 6.362239583333333, + "learning_rate": 0.0001, + "loss": 8.1334, + "loss/crossentropy": 2.1438381403684614, + "loss/hidden": 3.51875, + "loss/jsd": 0.0, + "loss/logits": 0.2077854923903942, + "step": 5700 + }, + { + "epoch": 0.571, + "grad_norm": 32.5, + "grad_norm_var": 14.85390625, + "learning_rate": 0.0001, + "loss": 8.0718, + "loss/crossentropy": 2.2198398813605307, + "loss/hidden": 3.580859375, + "loss/jsd": 0.0, + "loss/logits": 0.22509159836918116, + "step": 5710 + }, + { + "epoch": 0.572, + "grad_norm": 34.75, + "grad_norm_var": 13.4759765625, + "learning_rate": 0.0001, + "loss": 8.0583, + "loss/crossentropy": 2.4060455739498137, + "loss/hidden": 3.708203125, + "loss/jsd": 0.0, + "loss/logits": 0.25263102930039166, + "step": 5720 + }, + { + "epoch": 0.573, + "grad_norm": 28.625, + "grad_norm_var": 6.946809895833334, + "learning_rate": 0.0001, + "loss": 8.0726, + "loss/crossentropy": 2.1238791063427924, + "loss/hidden": 3.578125, + "loss/jsd": 0.0, + "loss/logits": 0.21989983841776847, + "step": 5730 + }, + { + "epoch": 0.574, + "grad_norm": 33.75, + "grad_norm_var": 9.4884765625, + "learning_rate": 0.0001, + "loss": 8.1374, + "loss/crossentropy": 2.1622555539011956, + "loss/hidden": 3.583203125, + "loss/jsd": 0.0, + "loss/logits": 0.21868109367787839, + "step": 5740 + }, + { + "epoch": 0.575, + "grad_norm": 33.0, + "grad_norm_var": 16.939518229166666, + "learning_rate": 0.0001, + "loss": 7.9816, + "loss/crossentropy": 2.203578273952007, + "loss/hidden": 3.57109375, + "loss/jsd": 0.0, + "loss/logits": 0.22708230018615722, + "step": 5750 + }, + { + "epoch": 0.576, + "grad_norm": 33.5, + "grad_norm_var": 7.49765625, + "learning_rate": 0.0001, + "loss": 8.0534, + "loss/crossentropy": 2.0832700729370117, + "loss/hidden": 3.5890625, + "loss/jsd": 0.0, + "loss/logits": 0.2166902620345354, + "step": 5760 + }, + { + "epoch": 0.577, + "grad_norm": 38.5, + "grad_norm_var": 7.069205729166667, + "learning_rate": 0.0001, + "loss": 8.1567, + "loss/crossentropy": 2.1000006228685377, + "loss/hidden": 3.6328125, + "loss/jsd": 0.0, + "loss/logits": 0.2189541209489107, + "step": 5770 + }, + { + "epoch": 0.578, + "grad_norm": 34.0, + "grad_norm_var": 10.34140625, + "learning_rate": 0.0001, + "loss": 7.9902, + "loss/crossentropy": 2.2755674168467523, + "loss/hidden": 3.5046875, + "loss/jsd": 0.0, + "loss/logits": 0.2158666817471385, + "step": 5780 + }, + { + "epoch": 0.579, + "grad_norm": 31.0, + "grad_norm_var": 7.744791666666667, + "learning_rate": 0.0001, + "loss": 8.049, + "loss/crossentropy": 2.3444782361388206, + "loss/hidden": 3.565625, + "loss/jsd": 0.0, + "loss/logits": 0.22829483300447465, + "step": 5790 + }, + { + "epoch": 0.58, + "grad_norm": 31.75, + "grad_norm_var": 6.076497395833333, + "learning_rate": 0.0001, + "loss": 8.0271, + "loss/crossentropy": 2.202429711073637, + "loss/hidden": 3.4640625, + "loss/jsd": 0.0, + "loss/logits": 0.21492673214524985, + "step": 5800 + }, + { + "epoch": 0.581, + "grad_norm": 31.0, + "grad_norm_var": 3.6811848958333333, + "learning_rate": 0.0001, + "loss": 7.8948, + "loss/crossentropy": 2.3126792818307877, + "loss/hidden": 3.46015625, + "loss/jsd": 0.0, + "loss/logits": 0.22085475884377956, + "step": 5810 + }, + { + "epoch": 0.582, + "grad_norm": 33.0, + "grad_norm_var": 3.542708333333333, + "learning_rate": 0.0001, + "loss": 8.1146, + "loss/crossentropy": 2.264694780111313, + "loss/hidden": 3.47421875, + "loss/jsd": 0.0, + "loss/logits": 0.21074176728725433, + "step": 5820 + }, + { + "epoch": 0.583, + "grad_norm": 31.5, + "grad_norm_var": 2.3452473958333333, + "learning_rate": 0.0001, + "loss": 8.079, + "loss/crossentropy": 2.2641124561429025, + "loss/hidden": 3.5125, + "loss/jsd": 0.0, + "loss/logits": 0.22780102472752334, + "step": 5830 + }, + { + "epoch": 0.584, + "grad_norm": 32.5, + "grad_norm_var": 14.5947265625, + "learning_rate": 0.0001, + "loss": 8.0337, + "loss/crossentropy": 2.218563383817673, + "loss/hidden": 3.62734375, + "loss/jsd": 0.0, + "loss/logits": 0.24179403018206358, + "step": 5840 + }, + { + "epoch": 0.585, + "grad_norm": 32.75, + "grad_norm_var": 3.1705729166666665, + "learning_rate": 0.0001, + "loss": 8.0352, + "loss/crossentropy": 2.2127060025930403, + "loss/hidden": 3.51015625, + "loss/jsd": 0.0, + "loss/logits": 0.22846792116761208, + "step": 5850 + }, + { + "epoch": 0.586, + "grad_norm": 31.0, + "grad_norm_var": 5.418489583333334, + "learning_rate": 0.0001, + "loss": 8.0163, + "loss/crossentropy": 2.2808433353900908, + "loss/hidden": 3.579296875, + "loss/jsd": 0.0, + "loss/logits": 0.23100998885929586, + "step": 5860 + }, + { + "epoch": 0.587, + "grad_norm": 33.75, + "grad_norm_var": 7.083333333333333, + "learning_rate": 0.0001, + "loss": 8.0979, + "loss/crossentropy": 2.335478585958481, + "loss/hidden": 3.541015625, + "loss/jsd": 0.0, + "loss/logits": 0.2336500260978937, + "step": 5870 + }, + { + "epoch": 0.588, + "grad_norm": 31.5, + "grad_norm_var": 46.71243489583333, + "learning_rate": 0.0001, + "loss": 8.065, + "loss/crossentropy": 2.1413629055023193, + "loss/hidden": 3.46171875, + "loss/jsd": 0.0, + "loss/logits": 0.21667953655123712, + "step": 5880 + }, + { + "epoch": 0.589, + "grad_norm": 33.25, + "grad_norm_var": 90.58515625, + "learning_rate": 0.0001, + "loss": 8.1265, + "loss/crossentropy": 2.3575997933745385, + "loss/hidden": 3.5171875, + "loss/jsd": 0.0, + "loss/logits": 0.23772844970226287, + "step": 5890 + }, + { + "epoch": 0.59, + "grad_norm": 42.25, + "grad_norm_var": 108.78020833333333, + "learning_rate": 0.0001, + "loss": 8.1898, + "loss/crossentropy": 2.31534286737442, + "loss/hidden": 3.5765625, + "loss/jsd": 0.0, + "loss/logits": 0.23516609705984592, + "step": 5900 + }, + { + "epoch": 0.591, + "grad_norm": 30.125, + "grad_norm_var": 96.6228515625, + "learning_rate": 0.0001, + "loss": 8.2098, + "loss/crossentropy": 2.3408817887306212, + "loss/hidden": 3.58515625, + "loss/jsd": 0.0, + "loss/logits": 0.234616519510746, + "step": 5910 + }, + { + "epoch": 0.592, + "grad_norm": 34.5, + "grad_norm_var": 5.761458333333334, + "learning_rate": 0.0001, + "loss": 8.0412, + "loss/crossentropy": 2.3171244740486143, + "loss/hidden": 3.690234375, + "loss/jsd": 0.0, + "loss/logits": 0.24309027940034866, + "step": 5920 + }, + { + "epoch": 0.593, + "grad_norm": 31.875, + "grad_norm_var": 18.249934895833334, + "learning_rate": 0.0001, + "loss": 8.2448, + "loss/crossentropy": 2.3113586097955703, + "loss/hidden": 3.537890625, + "loss/jsd": 0.0, + "loss/logits": 0.2302385514602065, + "step": 5930 + }, + { + "epoch": 0.594, + "grad_norm": 29.625, + "grad_norm_var": 16.43125, + "learning_rate": 0.0001, + "loss": 7.9336, + "loss/crossentropy": 2.325835222005844, + "loss/hidden": 3.434765625, + "loss/jsd": 0.0, + "loss/logits": 0.21180371306836604, + "step": 5940 + }, + { + "epoch": 0.595, + "grad_norm": 30.5, + "grad_norm_var": 10.299739583333333, + "learning_rate": 0.0001, + "loss": 7.9796, + "loss/crossentropy": 2.0509180039167405, + "loss/hidden": 3.604296875, + "loss/jsd": 0.0, + "loss/logits": 0.2253203097730875, + "step": 5950 + }, + { + "epoch": 0.596, + "grad_norm": 35.5, + "grad_norm_var": 2.948958333333333, + "learning_rate": 0.0001, + "loss": 8.0105, + "loss/crossentropy": 2.320768731832504, + "loss/hidden": 3.509375, + "loss/jsd": 0.0, + "loss/logits": 0.2229237537831068, + "step": 5960 + }, + { + "epoch": 0.597, + "grad_norm": 28.375, + "grad_norm_var": 5.462434895833334, + "learning_rate": 0.0001, + "loss": 7.9407, + "loss/crossentropy": 2.3377193987369536, + "loss/hidden": 3.551171875, + "loss/jsd": 0.0, + "loss/logits": 0.22489294074475766, + "step": 5970 + }, + { + "epoch": 0.598, + "grad_norm": 37.25, + "grad_norm_var": 10.767643229166667, + "learning_rate": 0.0001, + "loss": 7.9551, + "loss/crossentropy": 2.26409173309803, + "loss/hidden": 3.5734375, + "loss/jsd": 0.0, + "loss/logits": 0.23901313543319702, + "step": 5980 + }, + { + "epoch": 0.599, + "grad_norm": 35.0, + "grad_norm_var": 14.5375, + "learning_rate": 0.0001, + "loss": 7.8592, + "loss/crossentropy": 2.2190980166196823, + "loss/hidden": 3.554296875, + "loss/jsd": 0.0, + "loss/logits": 0.22315293960273266, + "step": 5990 + }, + { + "epoch": 0.6, + "grad_norm": 31.0, + "grad_norm_var": 11.592643229166667, + "learning_rate": 0.0001, + "loss": 8.0295, + "loss/crossentropy": 2.3040059447288512, + "loss/hidden": 3.491015625, + "loss/jsd": 0.0, + "loss/logits": 0.22013801857829093, + "step": 6000 + } + ], + "logging_steps": 10, + "max_steps": 10000, + "num_input_tokens_seen": 0, + "num_train_epochs": 9223372036854775807, + "save_steps": 2000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 1.7145060192052838e+19, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}