diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,7042 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 10.0, + "eval_steps": 500, + "global_step": 584800, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.01, + "learning_rate": 4.99577633378933e-05, + "loss": 8.4265, + "step": 500 + }, + { + "epoch": 0.02, + "learning_rate": 4.9915013679890566e-05, + "loss": 7.7803, + "step": 1000 + }, + { + "epoch": 0.03, + "learning_rate": 4.987226402188783e-05, + "loss": 7.4779, + "step": 1500 + }, + { + "epoch": 0.03, + "learning_rate": 4.9829514363885096e-05, + "loss": 7.2649, + "step": 2000 + }, + { + "epoch": 0.04, + "learning_rate": 4.978676470588236e-05, + "loss": 7.0404, + "step": 2500 + }, + { + "epoch": 0.05, + "learning_rate": 4.974401504787962e-05, + "loss": 6.9479, + "step": 3000 + }, + { + "epoch": 0.06, + "learning_rate": 4.970126538987688e-05, + "loss": 6.8169, + "step": 3500 + }, + { + "epoch": 0.07, + "learning_rate": 4.965851573187415e-05, + "loss": 6.6874, + "step": 4000 + }, + { + "epoch": 0.08, + "learning_rate": 4.961576607387141e-05, + "loss": 6.6356, + "step": 4500 + }, + { + "epoch": 0.09, + "learning_rate": 4.957301641586867e-05, + "loss": 6.578, + "step": 5000 + }, + { + "epoch": 0.09, + "learning_rate": 4.953026675786594e-05, + "loss": 6.4661, + "step": 5500 + }, + { + "epoch": 0.1, + "learning_rate": 4.94875170998632e-05, + "loss": 6.3675, + "step": 6000 + }, + { + "epoch": 0.11, + "learning_rate": 4.944485294117647e-05, + "loss": 6.3715, + "step": 6500 + }, + { + "epoch": 0.12, + "learning_rate": 4.940218878248974e-05, + "loss": 6.3238, + "step": 7000 + }, + { + "epoch": 0.13, + "learning_rate": 4.9359439124487e-05, + "loss": 6.2349, + "step": 7500 + }, + { + "epoch": 0.14, + "learning_rate": 4.931668946648427e-05, + "loss": 6.1865, + "step": 8000 + }, + { + "epoch": 0.15, + "learning_rate": 4.927393980848153e-05, + "loss": 6.1535, + "step": 8500 + }, + { + "epoch": 0.15, + "learning_rate": 4.92311901504788e-05, + "loss": 6.0428, + "step": 9000 + }, + { + "epoch": 0.16, + "learning_rate": 4.9188525991792064e-05, + "loss": 6.0053, + "step": 9500 + }, + { + "epoch": 0.17, + "learning_rate": 4.914586183310534e-05, + "loss": 5.9903, + "step": 10000 + }, + { + "epoch": 0.18, + "learning_rate": 4.91031121751026e-05, + "loss": 6.0044, + "step": 10500 + }, + { + "epoch": 0.19, + "learning_rate": 4.906036251709987e-05, + "loss": 5.9116, + "step": 11000 + }, + { + "epoch": 0.2, + "learning_rate": 4.901761285909713e-05, + "loss": 5.8578, + "step": 11500 + }, + { + "epoch": 0.21, + "learning_rate": 4.897486320109439e-05, + "loss": 5.8959, + "step": 12000 + }, + { + "epoch": 0.21, + "learning_rate": 4.8932113543091655e-05, + "loss": 5.8711, + "step": 12500 + }, + { + "epoch": 0.22, + "learning_rate": 4.888936388508892e-05, + "loss": 5.809, + "step": 13000 + }, + { + "epoch": 0.23, + "learning_rate": 4.8846614227086185e-05, + "loss": 5.7566, + "step": 13500 + }, + { + "epoch": 0.24, + "learning_rate": 4.880386456908345e-05, + "loss": 5.6893, + "step": 14000 + }, + { + "epoch": 0.25, + "learning_rate": 4.8761200410396716e-05, + "loss": 5.6636, + "step": 14500 + }, + { + "epoch": 0.26, + "learning_rate": 4.8718450752393984e-05, + "loss": 5.6148, + "step": 15000 + }, + { + "epoch": 0.27, + "learning_rate": 4.8675701094391246e-05, + "loss": 5.6467, + "step": 15500 + }, + { + "epoch": 0.27, + "learning_rate": 4.8632951436388514e-05, + "loss": 5.5868, + "step": 16000 + }, + { + "epoch": 0.28, + "learning_rate": 4.8590201778385776e-05, + "loss": 5.5777, + "step": 16500 + }, + { + "epoch": 0.29, + "learning_rate": 4.8547452120383044e-05, + "loss": 5.5658, + "step": 17000 + }, + { + "epoch": 0.3, + "learning_rate": 4.8504702462380306e-05, + "loss": 5.5476, + "step": 17500 + }, + { + "epoch": 0.31, + "learning_rate": 4.846195280437757e-05, + "loss": 5.4681, + "step": 18000 + }, + { + "epoch": 0.32, + "learning_rate": 4.841928864569084e-05, + "loss": 5.4999, + "step": 18500 + }, + { + "epoch": 0.32, + "learning_rate": 4.8376538987688105e-05, + "loss": 5.4484, + "step": 19000 + }, + { + "epoch": 0.33, + "learning_rate": 4.833378932968537e-05, + "loss": 5.43, + "step": 19500 + }, + { + "epoch": 0.34, + "learning_rate": 4.829103967168263e-05, + "loss": 5.3776, + "step": 20000 + }, + { + "epoch": 0.35, + "learning_rate": 4.824829001367989e-05, + "loss": 5.3485, + "step": 20500 + }, + { + "epoch": 0.36, + "learning_rate": 4.8205625854993166e-05, + "loss": 5.3793, + "step": 21000 + }, + { + "epoch": 0.37, + "learning_rate": 4.816287619699043e-05, + "loss": 5.3071, + "step": 21500 + }, + { + "epoch": 0.38, + "learning_rate": 4.81202120383037e-05, + "loss": 5.3121, + "step": 22000 + }, + { + "epoch": 0.38, + "learning_rate": 4.807746238030096e-05, + "loss": 5.2851, + "step": 22500 + }, + { + "epoch": 0.39, + "learning_rate": 4.803471272229823e-05, + "loss": 5.296, + "step": 23000 + }, + { + "epoch": 0.4, + "learning_rate": 4.799196306429549e-05, + "loss": 5.2854, + "step": 23500 + }, + { + "epoch": 0.41, + "learning_rate": 4.794921340629275e-05, + "loss": 5.2706, + "step": 24000 + }, + { + "epoch": 0.42, + "learning_rate": 4.790646374829001e-05, + "loss": 5.278, + "step": 24500 + }, + { + "epoch": 0.43, + "learning_rate": 4.786371409028728e-05, + "loss": 5.2171, + "step": 25000 + }, + { + "epoch": 0.44, + "learning_rate": 4.782096443228454e-05, + "loss": 5.2034, + "step": 25500 + }, + { + "epoch": 0.44, + "learning_rate": 4.777830027359781e-05, + "loss": 5.196, + "step": 26000 + }, + { + "epoch": 0.45, + "learning_rate": 4.773555061559507e-05, + "loss": 5.1717, + "step": 26500 + }, + { + "epoch": 0.46, + "learning_rate": 4.769288645690835e-05, + "loss": 5.1113, + "step": 27000 + }, + { + "epoch": 0.47, + "learning_rate": 4.765013679890561e-05, + "loss": 5.1481, + "step": 27500 + }, + { + "epoch": 0.48, + "learning_rate": 4.760738714090288e-05, + "loss": 5.0527, + "step": 28000 + }, + { + "epoch": 0.49, + "learning_rate": 4.7564637482900134e-05, + "loss": 5.1138, + "step": 28500 + }, + { + "epoch": 0.5, + "learning_rate": 4.75218878248974e-05, + "loss": 5.1183, + "step": 29000 + }, + { + "epoch": 0.5, + "learning_rate": 4.7479138166894664e-05, + "loss": 5.098, + "step": 29500 + }, + { + "epoch": 0.51, + "learning_rate": 4.743647400820794e-05, + "loss": 5.0963, + "step": 30000 + }, + { + "epoch": 0.52, + "learning_rate": 4.73938098495212e-05, + "loss": 5.0569, + "step": 30500 + }, + { + "epoch": 0.53, + "learning_rate": 4.735106019151847e-05, + "loss": 5.0201, + "step": 31000 + }, + { + "epoch": 0.54, + "learning_rate": 4.730831053351573e-05, + "loss": 5.0116, + "step": 31500 + }, + { + "epoch": 0.55, + "learning_rate": 4.7265560875513e-05, + "loss": 5.0433, + "step": 32000 + }, + { + "epoch": 0.56, + "learning_rate": 4.722281121751026e-05, + "loss": 5.0234, + "step": 32500 + }, + { + "epoch": 0.56, + "learning_rate": 4.7180061559507524e-05, + "loss": 4.9659, + "step": 33000 + }, + { + "epoch": 0.57, + "learning_rate": 4.7137311901504786e-05, + "loss": 4.9612, + "step": 33500 + }, + { + "epoch": 0.58, + "learning_rate": 4.7094562243502054e-05, + "loss": 4.9943, + "step": 34000 + }, + { + "epoch": 0.59, + "learning_rate": 4.7051898084815324e-05, + "loss": 4.9673, + "step": 34500 + }, + { + "epoch": 0.6, + "learning_rate": 4.7009148426812585e-05, + "loss": 4.8833, + "step": 35000 + }, + { + "epoch": 0.61, + "learning_rate": 4.696639876880985e-05, + "loss": 4.9569, + "step": 35500 + }, + { + "epoch": 0.62, + "learning_rate": 4.6923649110807115e-05, + "loss": 4.933, + "step": 36000 + }, + { + "epoch": 0.62, + "learning_rate": 4.688089945280438e-05, + "loss": 4.8907, + "step": 36500 + }, + { + "epoch": 0.63, + "learning_rate": 4.6838149794801645e-05, + "loss": 4.9273, + "step": 37000 + }, + { + "epoch": 0.64, + "learning_rate": 4.679540013679891e-05, + "loss": 4.8889, + "step": 37500 + }, + { + "epoch": 0.65, + "learning_rate": 4.6752650478796175e-05, + "loss": 4.9151, + "step": 38000 + }, + { + "epoch": 0.66, + "learning_rate": 4.670990082079344e-05, + "loss": 4.9004, + "step": 38500 + }, + { + "epoch": 0.67, + "learning_rate": 4.66671511627907e-05, + "loss": 4.8357, + "step": 39000 + }, + { + "epoch": 0.68, + "learning_rate": 4.662440150478796e-05, + "loss": 4.8494, + "step": 39500 + }, + { + "epoch": 0.68, + "learning_rate": 4.658165184678523e-05, + "loss": 4.8046, + "step": 40000 + }, + { + "epoch": 0.69, + "learning_rate": 4.653890218878249e-05, + "loss": 4.8581, + "step": 40500 + }, + { + "epoch": 0.7, + "learning_rate": 4.649615253077976e-05, + "loss": 4.814, + "step": 41000 + }, + { + "epoch": 0.71, + "learning_rate": 4.645340287277702e-05, + "loss": 4.7839, + "step": 41500 + }, + { + "epoch": 0.72, + "learning_rate": 4.641073871409029e-05, + "loss": 4.8091, + "step": 42000 + }, + { + "epoch": 0.73, + "learning_rate": 4.636798905608755e-05, + "loss": 4.8198, + "step": 42500 + }, + { + "epoch": 0.74, + "learning_rate": 4.632523939808482e-05, + "loss": 4.7321, + "step": 43000 + }, + { + "epoch": 0.74, + "learning_rate": 4.628248974008208e-05, + "loss": 4.7552, + "step": 43500 + }, + { + "epoch": 0.75, + "learning_rate": 4.623974008207935e-05, + "loss": 4.7621, + "step": 44000 + }, + { + "epoch": 0.76, + "learning_rate": 4.619699042407661e-05, + "loss": 4.7516, + "step": 44500 + }, + { + "epoch": 0.77, + "learning_rate": 4.615424076607387e-05, + "loss": 4.7157, + "step": 45000 + }, + { + "epoch": 0.78, + "learning_rate": 4.6111491108071134e-05, + "loss": 4.6958, + "step": 45500 + }, + { + "epoch": 0.79, + "learning_rate": 4.60687414500684e-05, + "loss": 4.7013, + "step": 46000 + }, + { + "epoch": 0.8, + "learning_rate": 4.6025991792065664e-05, + "loss": 4.6959, + "step": 46500 + }, + { + "epoch": 0.8, + "learning_rate": 4.598324213406293e-05, + "loss": 4.7148, + "step": 47000 + }, + { + "epoch": 0.81, + "learning_rate": 4.5940492476060194e-05, + "loss": 4.7094, + "step": 47500 + }, + { + "epoch": 0.82, + "learning_rate": 4.589774281805746e-05, + "loss": 4.6568, + "step": 48000 + }, + { + "epoch": 0.83, + "learning_rate": 4.5854993160054724e-05, + "loss": 4.671, + "step": 48500 + }, + { + "epoch": 0.84, + "learning_rate": 4.5812243502051985e-05, + "loss": 4.6499, + "step": 49000 + }, + { + "epoch": 0.85, + "learning_rate": 4.576949384404925e-05, + "loss": 4.6552, + "step": 49500 + }, + { + "epoch": 0.85, + "learning_rate": 4.5726915184678524e-05, + "loss": 4.6251, + "step": 50000 + }, + { + "epoch": 0.86, + "learning_rate": 4.5684165526675786e-05, + "loss": 4.6063, + "step": 50500 + }, + { + "epoch": 0.87, + "learning_rate": 4.564150136798906e-05, + "loss": 4.6095, + "step": 51000 + }, + { + "epoch": 0.88, + "learning_rate": 4.5598751709986324e-05, + "loss": 4.6453, + "step": 51500 + }, + { + "epoch": 0.89, + "learning_rate": 4.5556002051983585e-05, + "loss": 4.5956, + "step": 52000 + }, + { + "epoch": 0.9, + "learning_rate": 4.551325239398085e-05, + "loss": 4.5697, + "step": 52500 + }, + { + "epoch": 0.91, + "learning_rate": 4.5470502735978115e-05, + "loss": 4.6187, + "step": 53000 + }, + { + "epoch": 0.91, + "learning_rate": 4.542775307797538e-05, + "loss": 4.6015, + "step": 53500 + }, + { + "epoch": 0.92, + "learning_rate": 4.5385003419972645e-05, + "loss": 4.5628, + "step": 54000 + }, + { + "epoch": 0.93, + "learning_rate": 4.534225376196991e-05, + "loss": 4.5632, + "step": 54500 + }, + { + "epoch": 0.94, + "learning_rate": 4.5299504103967175e-05, + "loss": 4.5841, + "step": 55000 + }, + { + "epoch": 0.95, + "learning_rate": 4.525675444596443e-05, + "loss": 4.5934, + "step": 55500 + }, + { + "epoch": 0.96, + "learning_rate": 4.52140047879617e-05, + "loss": 4.5902, + "step": 56000 + }, + { + "epoch": 0.97, + "learning_rate": 4.517125512995896e-05, + "loss": 4.56, + "step": 56500 + }, + { + "epoch": 0.97, + "learning_rate": 4.512850547195623e-05, + "loss": 4.6091, + "step": 57000 + }, + { + "epoch": 0.98, + "learning_rate": 4.508575581395349e-05, + "loss": 4.5518, + "step": 57500 + }, + { + "epoch": 0.99, + "learning_rate": 4.504300615595076e-05, + "loss": 4.5324, + "step": 58000 + }, + { + "epoch": 1.0, + "learning_rate": 4.500025649794802e-05, + "loss": 4.5271, + "step": 58500 + }, + { + "epoch": 1.01, + "learning_rate": 4.495750683994529e-05, + "loss": 4.5211, + "step": 59000 + }, + { + "epoch": 1.02, + "learning_rate": 4.491475718194254e-05, + "loss": 4.5261, + "step": 59500 + }, + { + "epoch": 1.03, + "learning_rate": 4.487209302325582e-05, + "loss": 4.5172, + "step": 60000 + }, + { + "epoch": 1.03, + "learning_rate": 4.482942886456908e-05, + "loss": 4.5021, + "step": 60500 + }, + { + "epoch": 1.04, + "learning_rate": 4.478667920656635e-05, + "loss": 4.5054, + "step": 61000 + }, + { + "epoch": 1.05, + "learning_rate": 4.474392954856361e-05, + "loss": 4.4886, + "step": 61500 + }, + { + "epoch": 1.06, + "learning_rate": 4.470117989056088e-05, + "loss": 4.487, + "step": 62000 + }, + { + "epoch": 1.07, + "learning_rate": 4.465860123119015e-05, + "loss": 4.5001, + "step": 62500 + }, + { + "epoch": 1.08, + "learning_rate": 4.461585157318742e-05, + "loss": 4.5064, + "step": 63000 + }, + { + "epoch": 1.09, + "learning_rate": 4.457310191518468e-05, + "loss": 4.4453, + "step": 63500 + }, + { + "epoch": 1.09, + "learning_rate": 4.453035225718194e-05, + "loss": 4.4815, + "step": 64000 + }, + { + "epoch": 1.1, + "learning_rate": 4.4487602599179204e-05, + "loss": 4.4853, + "step": 64500 + }, + { + "epoch": 1.11, + "learning_rate": 4.444485294117647e-05, + "loss": 4.4796, + "step": 65000 + }, + { + "epoch": 1.12, + "learning_rate": 4.4402103283173734e-05, + "loss": 4.4877, + "step": 65500 + }, + { + "epoch": 1.13, + "learning_rate": 4.4359353625171e-05, + "loss": 4.4423, + "step": 66000 + }, + { + "epoch": 1.14, + "learning_rate": 4.4316603967168264e-05, + "loss": 4.4397, + "step": 66500 + }, + { + "epoch": 1.15, + "learning_rate": 4.427385430916553e-05, + "loss": 4.4684, + "step": 67000 + }, + { + "epoch": 1.15, + "learning_rate": 4.4231104651162794e-05, + "loss": 4.4439, + "step": 67500 + }, + { + "epoch": 1.16, + "learning_rate": 4.4188354993160055e-05, + "loss": 4.4587, + "step": 68000 + }, + { + "epoch": 1.17, + "learning_rate": 4.414560533515732e-05, + "loss": 4.397, + "step": 68500 + }, + { + "epoch": 1.18, + "learning_rate": 4.410294117647059e-05, + "loss": 4.398, + "step": 69000 + }, + { + "epoch": 1.19, + "learning_rate": 4.4060191518467855e-05, + "loss": 4.3962, + "step": 69500 + }, + { + "epoch": 1.2, + "learning_rate": 4.4017441860465116e-05, + "loss": 4.4318, + "step": 70000 + }, + { + "epoch": 1.21, + "learning_rate": 4.397469220246238e-05, + "loss": 4.4008, + "step": 70500 + }, + { + "epoch": 1.21, + "learning_rate": 4.3931942544459646e-05, + "loss": 4.3997, + "step": 71000 + }, + { + "epoch": 1.22, + "learning_rate": 4.388919288645691e-05, + "loss": 4.3974, + "step": 71500 + }, + { + "epoch": 1.23, + "learning_rate": 4.3846443228454176e-05, + "loss": 4.4154, + "step": 72000 + }, + { + "epoch": 1.24, + "learning_rate": 4.380369357045144e-05, + "loss": 4.3971, + "step": 72500 + }, + { + "epoch": 1.25, + "learning_rate": 4.3760943912448706e-05, + "loss": 4.3549, + "step": 73000 + }, + { + "epoch": 1.26, + "learning_rate": 4.371819425444597e-05, + "loss": 4.3565, + "step": 73500 + }, + { + "epoch": 1.27, + "learning_rate": 4.3675615595075245e-05, + "loss": 4.3663, + "step": 74000 + }, + { + "epoch": 1.27, + "learning_rate": 4.363286593707251e-05, + "loss": 4.3174, + "step": 74500 + }, + { + "epoch": 1.28, + "learning_rate": 4.359011627906977e-05, + "loss": 4.3624, + "step": 75000 + }, + { + "epoch": 1.29, + "learning_rate": 4.354736662106703e-05, + "loss": 4.3694, + "step": 75500 + }, + { + "epoch": 1.3, + "learning_rate": 4.35046169630643e-05, + "loss": 4.3345, + "step": 76000 + }, + { + "epoch": 1.31, + "learning_rate": 4.346195280437757e-05, + "loss": 4.3558, + "step": 76500 + }, + { + "epoch": 1.32, + "learning_rate": 4.341928864569084e-05, + "loss": 4.3529, + "step": 77000 + }, + { + "epoch": 1.33, + "learning_rate": 4.33765389876881e-05, + "loss": 4.3293, + "step": 77500 + }, + { + "epoch": 1.33, + "learning_rate": 4.333378932968537e-05, + "loss": 4.3166, + "step": 78000 + }, + { + "epoch": 1.34, + "learning_rate": 4.329103967168263e-05, + "loss": 4.3186, + "step": 78500 + }, + { + "epoch": 1.35, + "learning_rate": 4.32483755129959e-05, + "loss": 4.372, + "step": 79000 + }, + { + "epoch": 1.36, + "learning_rate": 4.3205625854993167e-05, + "loss": 4.2791, + "step": 79500 + }, + { + "epoch": 1.37, + "learning_rate": 4.316296169630643e-05, + "loss": 4.3088, + "step": 80000 + }, + { + "epoch": 1.38, + "learning_rate": 4.31202120383037e-05, + "loss": 4.3065, + "step": 80500 + }, + { + "epoch": 1.39, + "learning_rate": 4.307746238030096e-05, + "loss": 4.3327, + "step": 81000 + }, + { + "epoch": 1.39, + "learning_rate": 4.303471272229823e-05, + "loss": 4.2718, + "step": 81500 + }, + { + "epoch": 1.4, + "learning_rate": 4.299196306429549e-05, + "loss": 4.2324, + "step": 82000 + }, + { + "epoch": 1.41, + "learning_rate": 4.294921340629276e-05, + "loss": 4.2851, + "step": 82500 + }, + { + "epoch": 1.42, + "learning_rate": 4.290654924760602e-05, + "loss": 4.2606, + "step": 83000 + }, + { + "epoch": 1.43, + "learning_rate": 4.286379958960329e-05, + "loss": 4.2524, + "step": 83500 + }, + { + "epoch": 1.44, + "learning_rate": 4.282104993160055e-05, + "loss": 4.2853, + "step": 84000 + }, + { + "epoch": 1.44, + "learning_rate": 4.277830027359782e-05, + "loss": 4.274, + "step": 84500 + }, + { + "epoch": 1.45, + "learning_rate": 4.273555061559508e-05, + "loss": 4.2519, + "step": 85000 + }, + { + "epoch": 1.46, + "learning_rate": 4.269280095759234e-05, + "loss": 4.2295, + "step": 85500 + }, + { + "epoch": 1.47, + "learning_rate": 4.26500512995896e-05, + "loss": 4.27, + "step": 86000 + }, + { + "epoch": 1.48, + "learning_rate": 4.260730164158687e-05, + "loss": 4.2542, + "step": 86500 + }, + { + "epoch": 1.49, + "learning_rate": 4.256455198358413e-05, + "loss": 4.1816, + "step": 87000 + }, + { + "epoch": 1.5, + "learning_rate": 4.2521802325581395e-05, + "loss": 4.2759, + "step": 87500 + }, + { + "epoch": 1.5, + "learning_rate": 4.247905266757866e-05, + "loss": 4.2383, + "step": 88000 + }, + { + "epoch": 1.51, + "learning_rate": 4.2436303009575925e-05, + "loss": 4.2417, + "step": 88500 + }, + { + "epoch": 1.52, + "learning_rate": 4.2393553351573186e-05, + "loss": 4.2522, + "step": 89000 + }, + { + "epoch": 1.53, + "learning_rate": 4.235080369357045e-05, + "loss": 4.2286, + "step": 89500 + }, + { + "epoch": 1.54, + "learning_rate": 4.2308054035567716e-05, + "loss": 4.213, + "step": 90000 + }, + { + "epoch": 1.55, + "learning_rate": 4.226530437756498e-05, + "loss": 4.2361, + "step": 90500 + }, + { + "epoch": 1.56, + "learning_rate": 4.2222554719562246e-05, + "loss": 4.2226, + "step": 91000 + }, + { + "epoch": 1.56, + "learning_rate": 4.2179976060191524e-05, + "loss": 4.2126, + "step": 91500 + }, + { + "epoch": 1.57, + "learning_rate": 4.2137226402188785e-05, + "loss": 4.2679, + "step": 92000 + }, + { + "epoch": 1.58, + "learning_rate": 4.2094476744186054e-05, + "loss": 4.2176, + "step": 92500 + }, + { + "epoch": 1.59, + "learning_rate": 4.2051727086183315e-05, + "loss": 4.2451, + "step": 93000 + }, + { + "epoch": 1.6, + "learning_rate": 4.200897742818058e-05, + "loss": 4.2348, + "step": 93500 + }, + { + "epoch": 1.61, + "learning_rate": 4.196622777017784e-05, + "loss": 4.1622, + "step": 94000 + }, + { + "epoch": 1.62, + "learning_rate": 4.19234781121751e-05, + "loss": 4.2212, + "step": 94500 + }, + { + "epoch": 1.62, + "learning_rate": 4.188089945280438e-05, + "loss": 4.1774, + "step": 95000 + }, + { + "epoch": 1.63, + "learning_rate": 4.1838149794801646e-05, + "loss": 4.1855, + "step": 95500 + }, + { + "epoch": 1.64, + "learning_rate": 4.179540013679891e-05, + "loss": 4.1997, + "step": 96000 + }, + { + "epoch": 1.65, + "learning_rate": 4.1752650478796176e-05, + "loss": 4.1479, + "step": 96500 + }, + { + "epoch": 1.66, + "learning_rate": 4.170990082079344e-05, + "loss": 4.1943, + "step": 97000 + }, + { + "epoch": 1.67, + "learning_rate": 4.16671511627907e-05, + "loss": 4.1743, + "step": 97500 + }, + { + "epoch": 1.68, + "learning_rate": 4.162440150478796e-05, + "loss": 4.1654, + "step": 98000 + }, + { + "epoch": 1.68, + "learning_rate": 4.158165184678523e-05, + "loss": 4.1624, + "step": 98500 + }, + { + "epoch": 1.69, + "learning_rate": 4.153890218878249e-05, + "loss": 4.204, + "step": 99000 + }, + { + "epoch": 1.7, + "learning_rate": 4.149615253077976e-05, + "loss": 4.0859, + "step": 99500 + }, + { + "epoch": 1.71, + "learning_rate": 4.145340287277702e-05, + "loss": 4.1537, + "step": 100000 + }, + { + "epoch": 1.72, + "learning_rate": 4.141065321477429e-05, + "loss": 4.172, + "step": 100500 + }, + { + "epoch": 1.73, + "learning_rate": 4.136790355677155e-05, + "loss": 4.1576, + "step": 101000 + }, + { + "epoch": 1.74, + "learning_rate": 4.132523939808482e-05, + "loss": 4.1124, + "step": 101500 + }, + { + "epoch": 1.74, + "learning_rate": 4.128248974008208e-05, + "loss": 4.1375, + "step": 102000 + }, + { + "epoch": 1.75, + "learning_rate": 4.123982558139535e-05, + "loss": 4.1307, + "step": 102500 + }, + { + "epoch": 1.76, + "learning_rate": 4.119707592339261e-05, + "loss": 4.1423, + "step": 103000 + }, + { + "epoch": 1.77, + "learning_rate": 4.115432626538988e-05, + "loss": 4.1378, + "step": 103500 + }, + { + "epoch": 1.78, + "learning_rate": 4.111157660738714e-05, + "loss": 4.0877, + "step": 104000 + }, + { + "epoch": 1.79, + "learning_rate": 4.106882694938441e-05, + "loss": 4.1337, + "step": 104500 + }, + { + "epoch": 1.8, + "learning_rate": 4.102607729138167e-05, + "loss": 4.1034, + "step": 105000 + }, + { + "epoch": 1.8, + "learning_rate": 4.098332763337894e-05, + "loss": 4.1387, + "step": 105500 + }, + { + "epoch": 1.81, + "learning_rate": 4.0940577975376195e-05, + "loss": 4.1397, + "step": 106000 + }, + { + "epoch": 1.82, + "learning_rate": 4.0897828317373464e-05, + "loss": 4.142, + "step": 106500 + }, + { + "epoch": 1.83, + "learning_rate": 4.0855078659370725e-05, + "loss": 4.1181, + "step": 107000 + }, + { + "epoch": 1.84, + "learning_rate": 4.0812414500684e-05, + "loss": 4.1161, + "step": 107500 + }, + { + "epoch": 1.85, + "learning_rate": 4.0769750341997264e-05, + "loss": 4.0865, + "step": 108000 + }, + { + "epoch": 1.86, + "learning_rate": 4.0727086183310534e-05, + "loss": 4.0692, + "step": 108500 + }, + { + "epoch": 1.86, + "learning_rate": 4.0684336525307795e-05, + "loss": 4.0814, + "step": 109000 + }, + { + "epoch": 1.87, + "learning_rate": 4.0641586867305064e-05, + "loss": 4.0752, + "step": 109500 + }, + { + "epoch": 1.88, + "learning_rate": 4.0598837209302325e-05, + "loss": 4.0893, + "step": 110000 + }, + { + "epoch": 1.89, + "learning_rate": 4.0556087551299594e-05, + "loss": 4.0941, + "step": 110500 + }, + { + "epoch": 1.9, + "learning_rate": 4.0513337893296855e-05, + "loss": 4.1135, + "step": 111000 + }, + { + "epoch": 1.91, + "learning_rate": 4.0470588235294124e-05, + "loss": 4.0911, + "step": 111500 + }, + { + "epoch": 1.92, + "learning_rate": 4.0427924076607386e-05, + "loss": 4.0741, + "step": 112000 + }, + { + "epoch": 1.92, + "learning_rate": 4.0385174418604655e-05, + "loss": 4.1022, + "step": 112500 + }, + { + "epoch": 1.93, + "learning_rate": 4.0342424760601916e-05, + "loss": 4.0507, + "step": 113000 + }, + { + "epoch": 1.94, + "learning_rate": 4.0299675102599185e-05, + "loss": 4.0823, + "step": 113500 + }, + { + "epoch": 1.95, + "learning_rate": 4.0256925444596446e-05, + "loss": 4.0645, + "step": 114000 + }, + { + "epoch": 1.96, + "learning_rate": 4.021417578659371e-05, + "loss": 4.0487, + "step": 114500 + }, + { + "epoch": 1.97, + "learning_rate": 4.017142612859097e-05, + "loss": 4.0594, + "step": 115000 + }, + { + "epoch": 1.98, + "learning_rate": 4.012867647058824e-05, + "loss": 4.0333, + "step": 115500 + }, + { + "epoch": 1.98, + "learning_rate": 4.00859268125855e-05, + "loss": 4.0575, + "step": 116000 + }, + { + "epoch": 1.99, + "learning_rate": 4.004317715458277e-05, + "loss": 4.0441, + "step": 116500 + }, + { + "epoch": 2.0, + "learning_rate": 4.000042749658003e-05, + "loss": 4.0541, + "step": 117000 + }, + { + "epoch": 2.01, + "learning_rate": 3.99576778385773e-05, + "loss": 4.0371, + "step": 117500 + }, + { + "epoch": 2.02, + "learning_rate": 3.991492818057456e-05, + "loss": 4.0368, + "step": 118000 + }, + { + "epoch": 2.03, + "learning_rate": 3.987226402188783e-05, + "loss": 4.0379, + "step": 118500 + }, + { + "epoch": 2.03, + "learning_rate": 3.982951436388509e-05, + "loss": 4.0413, + "step": 119000 + }, + { + "epoch": 2.04, + "learning_rate": 3.978676470588236e-05, + "loss": 3.9662, + "step": 119500 + }, + { + "epoch": 2.05, + "learning_rate": 3.974401504787962e-05, + "loss": 4.0108, + "step": 120000 + }, + { + "epoch": 2.06, + "learning_rate": 3.970126538987688e-05, + "loss": 4.0292, + "step": 120500 + }, + { + "epoch": 2.07, + "learning_rate": 3.965851573187414e-05, + "loss": 3.9768, + "step": 121000 + }, + { + "epoch": 2.08, + "learning_rate": 3.961593707250342e-05, + "loss": 4.01, + "step": 121500 + }, + { + "epoch": 2.09, + "learning_rate": 3.957318741450068e-05, + "loss": 4.0071, + "step": 122000 + }, + { + "epoch": 2.09, + "learning_rate": 3.953043775649795e-05, + "loss": 3.9862, + "step": 122500 + }, + { + "epoch": 2.1, + "learning_rate": 3.948768809849521e-05, + "loss": 4.0002, + "step": 123000 + }, + { + "epoch": 2.11, + "learning_rate": 3.944493844049248e-05, + "loss": 3.986, + "step": 123500 + }, + { + "epoch": 2.12, + "learning_rate": 3.940218878248974e-05, + "loss": 4.0122, + "step": 124000 + }, + { + "epoch": 2.13, + "learning_rate": 3.935952462380301e-05, + "loss": 4.0036, + "step": 124500 + }, + { + "epoch": 2.14, + "learning_rate": 3.931677496580027e-05, + "loss": 4.0221, + "step": 125000 + }, + { + "epoch": 2.15, + "learning_rate": 3.927402530779754e-05, + "loss": 3.9919, + "step": 125500 + }, + { + "epoch": 2.15, + "learning_rate": 3.9231361149110804e-05, + "loss": 3.9685, + "step": 126000 + }, + { + "epoch": 2.16, + "learning_rate": 3.918861149110807e-05, + "loss": 3.9836, + "step": 126500 + }, + { + "epoch": 2.17, + "learning_rate": 3.914594733242134e-05, + "loss": 3.9964, + "step": 127000 + }, + { + "epoch": 2.18, + "learning_rate": 3.9103197674418604e-05, + "loss": 3.9632, + "step": 127500 + }, + { + "epoch": 2.19, + "learning_rate": 3.9060448016415865e-05, + "loss": 4.0239, + "step": 128000 + }, + { + "epoch": 2.2, + "learning_rate": 3.9017698358413134e-05, + "loss": 3.9661, + "step": 128500 + }, + { + "epoch": 2.21, + "learning_rate": 3.8974948700410395e-05, + "loss": 4.0074, + "step": 129000 + }, + { + "epoch": 2.21, + "learning_rate": 3.8932199042407664e-05, + "loss": 3.9572, + "step": 129500 + }, + { + "epoch": 2.22, + "learning_rate": 3.8889449384404925e-05, + "loss": 4.0149, + "step": 130000 + }, + { + "epoch": 2.23, + "learning_rate": 3.8846699726402194e-05, + "loss": 3.9621, + "step": 130500 + }, + { + "epoch": 2.24, + "learning_rate": 3.8803950068399455e-05, + "loss": 3.9519, + "step": 131000 + }, + { + "epoch": 2.25, + "learning_rate": 3.876120041039672e-05, + "loss": 3.9366, + "step": 131500 + }, + { + "epoch": 2.26, + "learning_rate": 3.871845075239398e-05, + "loss": 3.9689, + "step": 132000 + }, + { + "epoch": 2.27, + "learning_rate": 3.867570109439125e-05, + "loss": 3.9984, + "step": 132500 + }, + { + "epoch": 2.27, + "learning_rate": 3.863295143638851e-05, + "loss": 3.9291, + "step": 133000 + }, + { + "epoch": 2.28, + "learning_rate": 3.859020177838578e-05, + "loss": 3.9921, + "step": 133500 + }, + { + "epoch": 2.29, + "learning_rate": 3.854745212038304e-05, + "loss": 3.9747, + "step": 134000 + }, + { + "epoch": 2.3, + "learning_rate": 3.8504702462380307e-05, + "loss": 3.9321, + "step": 134500 + }, + { + "epoch": 2.31, + "learning_rate": 3.846195280437757e-05, + "loss": 3.9596, + "step": 135000 + }, + { + "epoch": 2.32, + "learning_rate": 3.841920314637483e-05, + "loss": 3.9574, + "step": 135500 + }, + { + "epoch": 2.33, + "learning_rate": 3.83765389876881e-05, + "loss": 3.9476, + "step": 136000 + }, + { + "epoch": 2.33, + "learning_rate": 3.833378932968537e-05, + "loss": 3.937, + "step": 136500 + }, + { + "epoch": 2.34, + "learning_rate": 3.829103967168263e-05, + "loss": 3.9935, + "step": 137000 + }, + { + "epoch": 2.35, + "learning_rate": 3.82483755129959e-05, + "loss": 3.9308, + "step": 137500 + }, + { + "epoch": 2.36, + "learning_rate": 3.820562585499316e-05, + "loss": 3.9201, + "step": 138000 + }, + { + "epoch": 2.37, + "learning_rate": 3.816287619699043e-05, + "loss": 3.952, + "step": 138500 + }, + { + "epoch": 2.38, + "learning_rate": 3.812021203830369e-05, + "loss": 3.9014, + "step": 139000 + }, + { + "epoch": 2.39, + "learning_rate": 3.807746238030096e-05, + "loss": 3.9021, + "step": 139500 + }, + { + "epoch": 2.39, + "learning_rate": 3.803471272229822e-05, + "loss": 3.9358, + "step": 140000 + }, + { + "epoch": 2.4, + "learning_rate": 3.799196306429549e-05, + "loss": 3.9108, + "step": 140500 + }, + { + "epoch": 2.41, + "learning_rate": 3.794921340629275e-05, + "loss": 3.9362, + "step": 141000 + }, + { + "epoch": 2.42, + "learning_rate": 3.790646374829002e-05, + "loss": 3.9195, + "step": 141500 + }, + { + "epoch": 2.43, + "learning_rate": 3.786371409028728e-05, + "loss": 3.9143, + "step": 142000 + }, + { + "epoch": 2.44, + "learning_rate": 3.782096443228454e-05, + "loss": 3.8993, + "step": 142500 + }, + { + "epoch": 2.45, + "learning_rate": 3.7778214774281804e-05, + "loss": 3.8982, + "step": 143000 + }, + { + "epoch": 2.45, + "learning_rate": 3.773546511627907e-05, + "loss": 3.9135, + "step": 143500 + }, + { + "epoch": 2.46, + "learning_rate": 3.7692715458276334e-05, + "loss": 3.9076, + "step": 144000 + }, + { + "epoch": 2.47, + "learning_rate": 3.76499658002736e-05, + "loss": 3.9286, + "step": 144500 + }, + { + "epoch": 2.48, + "learning_rate": 3.7607301641586865e-05, + "loss": 3.8641, + "step": 145000 + }, + { + "epoch": 2.49, + "learning_rate": 3.7564551983584134e-05, + "loss": 3.9229, + "step": 145500 + }, + { + "epoch": 2.5, + "learning_rate": 3.7521802325581395e-05, + "loss": 3.9007, + "step": 146000 + }, + { + "epoch": 2.51, + "learning_rate": 3.7479052667578664e-05, + "loss": 3.8653, + "step": 146500 + }, + { + "epoch": 2.51, + "learning_rate": 3.7436303009575925e-05, + "loss": 3.9433, + "step": 147000 + }, + { + "epoch": 2.52, + "learning_rate": 3.7393553351573194e-05, + "loss": 3.934, + "step": 147500 + }, + { + "epoch": 2.53, + "learning_rate": 3.7350803693570455e-05, + "loss": 3.9171, + "step": 148000 + }, + { + "epoch": 2.54, + "learning_rate": 3.730805403556772e-05, + "loss": 3.8635, + "step": 148500 + }, + { + "epoch": 2.55, + "learning_rate": 3.726530437756498e-05, + "loss": 3.8977, + "step": 149000 + }, + { + "epoch": 2.56, + "learning_rate": 3.722255471956225e-05, + "loss": 3.931, + "step": 149500 + }, + { + "epoch": 2.56, + "learning_rate": 3.7179890560875516e-05, + "loss": 3.8653, + "step": 150000 + }, + { + "epoch": 2.57, + "learning_rate": 3.713714090287278e-05, + "loss": 3.875, + "step": 150500 + }, + { + "epoch": 2.58, + "learning_rate": 3.709439124487004e-05, + "loss": 3.8962, + "step": 151000 + }, + { + "epoch": 2.59, + "learning_rate": 3.705164158686731e-05, + "loss": 3.8875, + "step": 151500 + }, + { + "epoch": 2.6, + "learning_rate": 3.700897742818058e-05, + "loss": 3.8829, + "step": 152000 + }, + { + "epoch": 2.61, + "learning_rate": 3.696622777017784e-05, + "loss": 3.8708, + "step": 152500 + }, + { + "epoch": 2.62, + "learning_rate": 3.69234781121751e-05, + "loss": 3.8609, + "step": 153000 + }, + { + "epoch": 2.62, + "learning_rate": 3.688072845417237e-05, + "loss": 3.8731, + "step": 153500 + }, + { + "epoch": 2.63, + "learning_rate": 3.683797879616963e-05, + "loss": 3.8877, + "step": 154000 + }, + { + "epoch": 2.64, + "learning_rate": 3.67952291381669e-05, + "loss": 3.8592, + "step": 154500 + }, + { + "epoch": 2.65, + "learning_rate": 3.675256497948016e-05, + "loss": 3.8315, + "step": 155000 + }, + { + "epoch": 2.66, + "learning_rate": 3.670981532147743e-05, + "loss": 3.8739, + "step": 155500 + }, + { + "epoch": 2.67, + "learning_rate": 3.666706566347469e-05, + "loss": 3.8786, + "step": 156000 + }, + { + "epoch": 2.68, + "learning_rate": 3.662440150478796e-05, + "loss": 3.8754, + "step": 156500 + }, + { + "epoch": 2.68, + "learning_rate": 3.658165184678522e-05, + "loss": 3.8909, + "step": 157000 + }, + { + "epoch": 2.69, + "learning_rate": 3.653890218878249e-05, + "loss": 3.8487, + "step": 157500 + }, + { + "epoch": 2.7, + "learning_rate": 3.649615253077975e-05, + "loss": 3.8285, + "step": 158000 + }, + { + "epoch": 2.71, + "learning_rate": 3.645340287277702e-05, + "loss": 3.8426, + "step": 158500 + }, + { + "epoch": 2.72, + "learning_rate": 3.641065321477428e-05, + "loss": 3.8324, + "step": 159000 + }, + { + "epoch": 2.73, + "learning_rate": 3.636790355677155e-05, + "loss": 3.8314, + "step": 159500 + }, + { + "epoch": 2.74, + "learning_rate": 3.632515389876881e-05, + "loss": 3.8827, + "step": 160000 + }, + { + "epoch": 2.74, + "learning_rate": 3.6282404240766074e-05, + "loss": 3.8093, + "step": 160500 + }, + { + "epoch": 2.75, + "learning_rate": 3.6239654582763335e-05, + "loss": 3.8147, + "step": 161000 + }, + { + "epoch": 2.76, + "learning_rate": 3.619699042407661e-05, + "loss": 3.8406, + "step": 161500 + }, + { + "epoch": 2.77, + "learning_rate": 3.615424076607387e-05, + "loss": 3.8308, + "step": 162000 + }, + { + "epoch": 2.78, + "learning_rate": 3.611157660738714e-05, + "loss": 3.8018, + "step": 162500 + }, + { + "epoch": 2.79, + "learning_rate": 3.6068826949384404e-05, + "loss": 3.845, + "step": 163000 + }, + { + "epoch": 2.8, + "learning_rate": 3.602607729138167e-05, + "loss": 3.8614, + "step": 163500 + }, + { + "epoch": 2.8, + "learning_rate": 3.5983327633378934e-05, + "loss": 3.8299, + "step": 164000 + }, + { + "epoch": 2.81, + "learning_rate": 3.59405779753762e-05, + "loss": 3.857, + "step": 164500 + }, + { + "epoch": 2.82, + "learning_rate": 3.5897828317373464e-05, + "loss": 3.8043, + "step": 165000 + }, + { + "epoch": 2.83, + "learning_rate": 3.5855078659370726e-05, + "loss": 3.8535, + "step": 165500 + }, + { + "epoch": 2.84, + "learning_rate": 3.581232900136799e-05, + "loss": 3.806, + "step": 166000 + }, + { + "epoch": 2.85, + "learning_rate": 3.576983584131327e-05, + "loss": 3.8039, + "step": 166500 + }, + { + "epoch": 2.86, + "learning_rate": 3.5727086183310534e-05, + "loss": 3.7829, + "step": 167000 + }, + { + "epoch": 2.86, + "learning_rate": 3.5684336525307796e-05, + "loss": 3.7712, + "step": 167500 + }, + { + "epoch": 2.87, + "learning_rate": 3.5641586867305064e-05, + "loss": 3.8275, + "step": 168000 + }, + { + "epoch": 2.88, + "learning_rate": 3.5598922708618334e-05, + "loss": 3.84, + "step": 168500 + }, + { + "epoch": 2.89, + "learning_rate": 3.55561730506156e-05, + "loss": 3.8221, + "step": 169000 + }, + { + "epoch": 2.9, + "learning_rate": 3.551342339261286e-05, + "loss": 3.817, + "step": 169500 + }, + { + "epoch": 2.91, + "learning_rate": 3.5470673734610125e-05, + "loss": 3.775, + "step": 170000 + }, + { + "epoch": 2.92, + "learning_rate": 3.542792407660739e-05, + "loss": 3.799, + "step": 170500 + }, + { + "epoch": 2.92, + "learning_rate": 3.5385174418604655e-05, + "loss": 3.7927, + "step": 171000 + }, + { + "epoch": 2.93, + "learning_rate": 3.534242476060192e-05, + "loss": 3.7902, + "step": 171500 + }, + { + "epoch": 2.94, + "learning_rate": 3.5299675102599185e-05, + "loss": 3.8066, + "step": 172000 + }, + { + "epoch": 2.95, + "learning_rate": 3.525692544459645e-05, + "loss": 3.7513, + "step": 172500 + }, + { + "epoch": 2.96, + "learning_rate": 3.5214175786593715e-05, + "loss": 3.7826, + "step": 173000 + }, + { + "epoch": 2.97, + "learning_rate": 3.517142612859097e-05, + "loss": 3.8108, + "step": 173500 + }, + { + "epoch": 2.98, + "learning_rate": 3.512867647058823e-05, + "loss": 3.837, + "step": 174000 + }, + { + "epoch": 2.98, + "learning_rate": 3.508601231190151e-05, + "loss": 3.779, + "step": 174500 + }, + { + "epoch": 2.99, + "learning_rate": 3.504334815321478e-05, + "loss": 3.7988, + "step": 175000 + }, + { + "epoch": 3.0, + "learning_rate": 3.500059849521204e-05, + "loss": 3.7856, + "step": 175500 + }, + { + "epoch": 3.01, + "learning_rate": 3.495784883720931e-05, + "loss": 3.78, + "step": 176000 + }, + { + "epoch": 3.02, + "learning_rate": 3.491509917920657e-05, + "loss": 3.7456, + "step": 176500 + }, + { + "epoch": 3.03, + "learning_rate": 3.487234952120384e-05, + "loss": 3.7645, + "step": 177000 + }, + { + "epoch": 3.04, + "learning_rate": 3.48296853625171e-05, + "loss": 3.7486, + "step": 177500 + }, + { + "epoch": 3.04, + "learning_rate": 3.478693570451437e-05, + "loss": 3.7541, + "step": 178000 + }, + { + "epoch": 3.05, + "learning_rate": 3.474418604651163e-05, + "loss": 3.7828, + "step": 178500 + }, + { + "epoch": 3.06, + "learning_rate": 3.47014363885089e-05, + "loss": 3.7786, + "step": 179000 + }, + { + "epoch": 3.07, + "learning_rate": 3.465868673050616e-05, + "loss": 3.7776, + "step": 179500 + }, + { + "epoch": 3.08, + "learning_rate": 3.461593707250342e-05, + "loss": 3.783, + "step": 180000 + }, + { + "epoch": 3.09, + "learning_rate": 3.457318741450068e-05, + "loss": 3.7366, + "step": 180500 + }, + { + "epoch": 3.1, + "learning_rate": 3.453043775649795e-05, + "loss": 3.7755, + "step": 181000 + }, + { + "epoch": 3.1, + "learning_rate": 3.448768809849521e-05, + "loss": 3.7732, + "step": 181500 + }, + { + "epoch": 3.11, + "learning_rate": 3.444493844049248e-05, + "loss": 3.7646, + "step": 182000 + }, + { + "epoch": 3.12, + "learning_rate": 3.4402274281805744e-05, + "loss": 3.7425, + "step": 182500 + }, + { + "epoch": 3.13, + "learning_rate": 3.435952462380301e-05, + "loss": 3.7511, + "step": 183000 + }, + { + "epoch": 3.14, + "learning_rate": 3.4316774965800274e-05, + "loss": 3.7502, + "step": 183500 + }, + { + "epoch": 3.15, + "learning_rate": 3.427411080711354e-05, + "loss": 3.7457, + "step": 184000 + }, + { + "epoch": 3.15, + "learning_rate": 3.4231361149110805e-05, + "loss": 3.7421, + "step": 184500 + }, + { + "epoch": 3.16, + "learning_rate": 3.418861149110807e-05, + "loss": 3.7374, + "step": 185000 + }, + { + "epoch": 3.17, + "learning_rate": 3.4145861833105335e-05, + "loss": 3.7469, + "step": 185500 + }, + { + "epoch": 3.18, + "learning_rate": 3.41031121751026e-05, + "loss": 3.7475, + "step": 186000 + }, + { + "epoch": 3.19, + "learning_rate": 3.4060362517099865e-05, + "loss": 3.76, + "step": 186500 + }, + { + "epoch": 3.2, + "learning_rate": 3.401761285909713e-05, + "loss": 3.7236, + "step": 187000 + }, + { + "epoch": 3.21, + "learning_rate": 3.3974863201094395e-05, + "loss": 3.7304, + "step": 187500 + }, + { + "epoch": 3.21, + "learning_rate": 3.3932113543091656e-05, + "loss": 3.7536, + "step": 188000 + }, + { + "epoch": 3.22, + "learning_rate": 3.388936388508892e-05, + "loss": 3.7591, + "step": 188500 + }, + { + "epoch": 3.23, + "learning_rate": 3.3846699726402194e-05, + "loss": 3.7331, + "step": 189000 + }, + { + "epoch": 3.24, + "learning_rate": 3.3803950068399456e-05, + "loss": 3.7429, + "step": 189500 + }, + { + "epoch": 3.25, + "learning_rate": 3.376120041039672e-05, + "loss": 3.7781, + "step": 190000 + }, + { + "epoch": 3.26, + "learning_rate": 3.371845075239398e-05, + "loss": 3.6779, + "step": 190500 + }, + { + "epoch": 3.27, + "learning_rate": 3.367570109439125e-05, + "loss": 3.7198, + "step": 191000 + }, + { + "epoch": 3.27, + "learning_rate": 3.363295143638851e-05, + "loss": 3.7508, + "step": 191500 + }, + { + "epoch": 3.28, + "learning_rate": 3.3590287277701785e-05, + "loss": 3.7314, + "step": 192000 + }, + { + "epoch": 3.29, + "learning_rate": 3.354753761969904e-05, + "loss": 3.7358, + "step": 192500 + }, + { + "epoch": 3.3, + "learning_rate": 3.350478796169631e-05, + "loss": 3.7569, + "step": 193000 + }, + { + "epoch": 3.31, + "learning_rate": 3.346203830369357e-05, + "loss": 3.7113, + "step": 193500 + }, + { + "epoch": 3.32, + "learning_rate": 3.341928864569084e-05, + "loss": 3.7133, + "step": 194000 + }, + { + "epoch": 3.33, + "learning_rate": 3.33765389876881e-05, + "loss": 3.703, + "step": 194500 + }, + { + "epoch": 3.33, + "learning_rate": 3.333387482900137e-05, + "loss": 3.7268, + "step": 195000 + }, + { + "epoch": 3.34, + "learning_rate": 3.329112517099863e-05, + "loss": 3.7187, + "step": 195500 + }, + { + "epoch": 3.35, + "learning_rate": 3.32483755129959e-05, + "loss": 3.7187, + "step": 196000 + }, + { + "epoch": 3.36, + "learning_rate": 3.320562585499316e-05, + "loss": 3.7223, + "step": 196500 + }, + { + "epoch": 3.37, + "learning_rate": 3.316287619699043e-05, + "loss": 3.698, + "step": 197000 + }, + { + "epoch": 3.38, + "learning_rate": 3.312012653898769e-05, + "loss": 3.6941, + "step": 197500 + }, + { + "epoch": 3.39, + "learning_rate": 3.307746238030096e-05, + "loss": 3.6822, + "step": 198000 + }, + { + "epoch": 3.39, + "learning_rate": 3.303471272229822e-05, + "loss": 3.7184, + "step": 198500 + }, + { + "epoch": 3.4, + "learning_rate": 3.299196306429549e-05, + "loss": 3.6901, + "step": 199000 + }, + { + "epoch": 3.41, + "learning_rate": 3.294921340629275e-05, + "loss": 3.669, + "step": 199500 + }, + { + "epoch": 3.42, + "learning_rate": 3.290646374829002e-05, + "loss": 3.7188, + "step": 200000 + }, + { + "epoch": 3.43, + "learning_rate": 3.286371409028728e-05, + "loss": 3.7266, + "step": 200500 + }, + { + "epoch": 3.44, + "learning_rate": 3.282096443228454e-05, + "loss": 3.6421, + "step": 201000 + }, + { + "epoch": 3.45, + "learning_rate": 3.2778214774281805e-05, + "loss": 3.7126, + "step": 201500 + }, + { + "epoch": 3.45, + "learning_rate": 3.273555061559508e-05, + "loss": 3.7324, + "step": 202000 + }, + { + "epoch": 3.46, + "learning_rate": 3.269280095759234e-05, + "loss": 3.7318, + "step": 202500 + }, + { + "epoch": 3.47, + "learning_rate": 3.2650051299589604e-05, + "loss": 3.7125, + "step": 203000 + }, + { + "epoch": 3.48, + "learning_rate": 3.2607301641586866e-05, + "loss": 3.7445, + "step": 203500 + }, + { + "epoch": 3.49, + "learning_rate": 3.256463748290014e-05, + "loss": 3.6906, + "step": 204000 + }, + { + "epoch": 3.5, + "learning_rate": 3.2521973324213405e-05, + "loss": 3.7217, + "step": 204500 + }, + { + "epoch": 3.51, + "learning_rate": 3.247922366621067e-05, + "loss": 3.7128, + "step": 205000 + }, + { + "epoch": 3.51, + "learning_rate": 3.2436474008207935e-05, + "loss": 3.66, + "step": 205500 + }, + { + "epoch": 3.52, + "learning_rate": 3.23937243502052e-05, + "loss": 3.6891, + "step": 206000 + }, + { + "epoch": 3.53, + "learning_rate": 3.2351060191518466e-05, + "loss": 3.6576, + "step": 206500 + }, + { + "epoch": 3.54, + "learning_rate": 3.2308310533515734e-05, + "loss": 3.6565, + "step": 207000 + }, + { + "epoch": 3.55, + "learning_rate": 3.2265560875512996e-05, + "loss": 3.6723, + "step": 207500 + }, + { + "epoch": 3.56, + "learning_rate": 3.2222811217510264e-05, + "loss": 3.6781, + "step": 208000 + }, + { + "epoch": 3.57, + "learning_rate": 3.2180061559507526e-05, + "loss": 3.6858, + "step": 208500 + }, + { + "epoch": 3.57, + "learning_rate": 3.2137397400820795e-05, + "loss": 3.6536, + "step": 209000 + }, + { + "epoch": 3.58, + "learning_rate": 3.2094733242134065e-05, + "loss": 3.6654, + "step": 209500 + }, + { + "epoch": 3.59, + "learning_rate": 3.2051983584131326e-05, + "loss": 3.6439, + "step": 210000 + }, + { + "epoch": 3.6, + "learning_rate": 3.200923392612859e-05, + "loss": 3.6517, + "step": 210500 + }, + { + "epoch": 3.61, + "learning_rate": 3.1966484268125856e-05, + "loss": 3.6792, + "step": 211000 + }, + { + "epoch": 3.62, + "learning_rate": 3.192373461012312e-05, + "loss": 3.6649, + "step": 211500 + }, + { + "epoch": 3.63, + "learning_rate": 3.1880984952120386e-05, + "loss": 3.6359, + "step": 212000 + }, + { + "epoch": 3.63, + "learning_rate": 3.183823529411765e-05, + "loss": 3.6567, + "step": 212500 + }, + { + "epoch": 3.64, + "learning_rate": 3.1795485636114916e-05, + "loss": 3.6573, + "step": 213000 + }, + { + "epoch": 3.65, + "learning_rate": 3.175273597811218e-05, + "loss": 3.6925, + "step": 213500 + }, + { + "epoch": 3.66, + "learning_rate": 3.170998632010944e-05, + "loss": 3.6791, + "step": 214000 + }, + { + "epoch": 3.67, + "learning_rate": 3.16672366621067e-05, + "loss": 3.6442, + "step": 214500 + }, + { + "epoch": 3.68, + "learning_rate": 3.162465800273598e-05, + "loss": 3.7027, + "step": 215000 + }, + { + "epoch": 3.69, + "learning_rate": 3.158190834473324e-05, + "loss": 3.6328, + "step": 215500 + }, + { + "epoch": 3.69, + "learning_rate": 3.153915868673051e-05, + "loss": 3.6454, + "step": 216000 + }, + { + "epoch": 3.7, + "learning_rate": 3.149649452804378e-05, + "loss": 3.652, + "step": 216500 + }, + { + "epoch": 3.71, + "learning_rate": 3.145374487004104e-05, + "loss": 3.65, + "step": 217000 + }, + { + "epoch": 3.72, + "learning_rate": 3.141099521203831e-05, + "loss": 3.6305, + "step": 217500 + }, + { + "epoch": 3.73, + "learning_rate": 3.136824555403557e-05, + "loss": 3.6276, + "step": 218000 + }, + { + "epoch": 3.74, + "learning_rate": 3.132549589603284e-05, + "loss": 3.6349, + "step": 218500 + }, + { + "epoch": 3.74, + "learning_rate": 3.12827462380301e-05, + "loss": 3.6308, + "step": 219000 + }, + { + "epoch": 3.75, + "learning_rate": 3.123999658002736e-05, + "loss": 3.6472, + "step": 219500 + }, + { + "epoch": 3.76, + "learning_rate": 3.119724692202462e-05, + "loss": 3.6328, + "step": 220000 + }, + { + "epoch": 3.77, + "learning_rate": 3.1154497264021884e-05, + "loss": 3.639, + "step": 220500 + }, + { + "epoch": 3.78, + "learning_rate": 3.111174760601915e-05, + "loss": 3.6443, + "step": 221000 + }, + { + "epoch": 3.79, + "learning_rate": 3.1068997948016414e-05, + "loss": 3.6169, + "step": 221500 + }, + { + "epoch": 3.8, + "learning_rate": 3.102624829001368e-05, + "loss": 3.5953, + "step": 222000 + }, + { + "epoch": 3.8, + "learning_rate": 3.0983498632010944e-05, + "loss": 3.6557, + "step": 222500 + }, + { + "epoch": 3.81, + "learning_rate": 3.094074897400821e-05, + "loss": 3.6413, + "step": 223000 + }, + { + "epoch": 3.82, + "learning_rate": 3.0897999316005474e-05, + "loss": 3.6051, + "step": 223500 + }, + { + "epoch": 3.83, + "learning_rate": 3.0855249658002735e-05, + "loss": 3.6098, + "step": 224000 + }, + { + "epoch": 3.84, + "learning_rate": 3.08125e-05, + "loss": 3.6039, + "step": 224500 + }, + { + "epoch": 3.85, + "learning_rate": 3.076983584131327e-05, + "loss": 3.6379, + "step": 225000 + }, + { + "epoch": 3.86, + "learning_rate": 3.072717168262654e-05, + "loss": 3.6024, + "step": 225500 + }, + { + "epoch": 3.86, + "learning_rate": 3.0684422024623804e-05, + "loss": 3.6483, + "step": 226000 + }, + { + "epoch": 3.87, + "learning_rate": 3.0641672366621066e-05, + "loss": 3.6347, + "step": 226500 + }, + { + "epoch": 3.88, + "learning_rate": 3.0598922708618334e-05, + "loss": 3.6107, + "step": 227000 + }, + { + "epoch": 3.89, + "learning_rate": 3.0556173050615596e-05, + "loss": 3.584, + "step": 227500 + }, + { + "epoch": 3.9, + "learning_rate": 3.051342339261286e-05, + "loss": 3.6444, + "step": 228000 + }, + { + "epoch": 3.91, + "learning_rate": 3.0470844733242138e-05, + "loss": 3.5928, + "step": 228500 + }, + { + "epoch": 3.92, + "learning_rate": 3.04280950752394e-05, + "loss": 3.6176, + "step": 229000 + }, + { + "epoch": 3.92, + "learning_rate": 3.0385345417236665e-05, + "loss": 3.6444, + "step": 229500 + }, + { + "epoch": 3.93, + "learning_rate": 3.0342595759233926e-05, + "loss": 3.6084, + "step": 230000 + }, + { + "epoch": 3.94, + "learning_rate": 3.0299846101231195e-05, + "loss": 3.6357, + "step": 230500 + }, + { + "epoch": 3.95, + "learning_rate": 3.0257096443228456e-05, + "loss": 3.6135, + "step": 231000 + }, + { + "epoch": 3.96, + "learning_rate": 3.0214432284541726e-05, + "loss": 3.6289, + "step": 231500 + }, + { + "epoch": 3.97, + "learning_rate": 3.0171682626538987e-05, + "loss": 3.5722, + "step": 232000 + }, + { + "epoch": 3.98, + "learning_rate": 3.0128932968536256e-05, + "loss": 3.5999, + "step": 232500 + }, + { + "epoch": 3.98, + "learning_rate": 3.0086183310533517e-05, + "loss": 3.6273, + "step": 233000 + }, + { + "epoch": 3.99, + "learning_rate": 3.0043433652530782e-05, + "loss": 3.6238, + "step": 233500 + }, + { + "epoch": 4.0, + "learning_rate": 3.0000683994528044e-05, + "loss": 3.6198, + "step": 234000 + }, + { + "epoch": 4.01, + "learning_rate": 2.9957934336525312e-05, + "loss": 3.5947, + "step": 234500 + }, + { + "epoch": 4.02, + "learning_rate": 2.9915184678522574e-05, + "loss": 3.5988, + "step": 235000 + }, + { + "epoch": 4.03, + "learning_rate": 2.9872520519835846e-05, + "loss": 3.6401, + "step": 235500 + }, + { + "epoch": 4.04, + "learning_rate": 2.9829770861833105e-05, + "loss": 3.5982, + "step": 236000 + }, + { + "epoch": 4.04, + "learning_rate": 2.9787021203830373e-05, + "loss": 3.6065, + "step": 236500 + }, + { + "epoch": 4.05, + "learning_rate": 2.9744271545827635e-05, + "loss": 3.5934, + "step": 237000 + }, + { + "epoch": 4.06, + "learning_rate": 2.9701521887824903e-05, + "loss": 3.6165, + "step": 237500 + }, + { + "epoch": 4.07, + "learning_rate": 2.965877222982216e-05, + "loss": 3.6021, + "step": 238000 + }, + { + "epoch": 4.08, + "learning_rate": 2.9616108071135434e-05, + "loss": 3.5716, + "step": 238500 + }, + { + "epoch": 4.09, + "learning_rate": 2.9573358413132696e-05, + "loss": 3.586, + "step": 239000 + }, + { + "epoch": 4.1, + "learning_rate": 2.9530608755129964e-05, + "loss": 3.5593, + "step": 239500 + }, + { + "epoch": 4.1, + "learning_rate": 2.9487859097127226e-05, + "loss": 3.5961, + "step": 240000 + }, + { + "epoch": 4.11, + "learning_rate": 2.944510943912449e-05, + "loss": 3.6181, + "step": 240500 + }, + { + "epoch": 4.12, + "learning_rate": 2.9402359781121752e-05, + "loss": 3.5566, + "step": 241000 + }, + { + "epoch": 4.13, + "learning_rate": 2.935961012311902e-05, + "loss": 3.6061, + "step": 241500 + }, + { + "epoch": 4.14, + "learning_rate": 2.9316860465116282e-05, + "loss": 3.5411, + "step": 242000 + }, + { + "epoch": 4.15, + "learning_rate": 2.9274281805745556e-05, + "loss": 3.611, + "step": 242500 + }, + { + "epoch": 4.16, + "learning_rate": 2.9231532147742818e-05, + "loss": 3.5573, + "step": 243000 + }, + { + "epoch": 4.16, + "learning_rate": 2.9188782489740086e-05, + "loss": 3.5306, + "step": 243500 + }, + { + "epoch": 4.17, + "learning_rate": 2.9146032831737348e-05, + "loss": 3.5944, + "step": 244000 + }, + { + "epoch": 4.18, + "learning_rate": 2.9103283173734613e-05, + "loss": 3.5923, + "step": 244500 + }, + { + "epoch": 4.19, + "learning_rate": 2.9060533515731874e-05, + "loss": 3.5753, + "step": 245000 + }, + { + "epoch": 4.2, + "learning_rate": 2.9017783857729142e-05, + "loss": 3.5432, + "step": 245500 + }, + { + "epoch": 4.21, + "learning_rate": 2.8975034199726404e-05, + "loss": 3.5776, + "step": 246000 + }, + { + "epoch": 4.22, + "learning_rate": 2.8932370041039674e-05, + "loss": 3.5678, + "step": 246500 + }, + { + "epoch": 4.22, + "learning_rate": 2.8889620383036935e-05, + "loss": 3.6039, + "step": 247000 + }, + { + "epoch": 4.23, + "learning_rate": 2.8846870725034204e-05, + "loss": 3.5598, + "step": 247500 + }, + { + "epoch": 4.24, + "learning_rate": 2.8804121067031465e-05, + "loss": 3.5603, + "step": 248000 + }, + { + "epoch": 4.25, + "learning_rate": 2.876137140902873e-05, + "loss": 3.5818, + "step": 248500 + }, + { + "epoch": 4.26, + "learning_rate": 2.871862175102599e-05, + "loss": 3.5812, + "step": 249000 + }, + { + "epoch": 4.27, + "learning_rate": 2.867587209302326e-05, + "loss": 3.5672, + "step": 249500 + }, + { + "epoch": 4.27, + "learning_rate": 2.863312243502052e-05, + "loss": 3.5282, + "step": 250000 + }, + { + "epoch": 4.28, + "learning_rate": 2.8590372777017787e-05, + "loss": 3.5677, + "step": 250500 + }, + { + "epoch": 4.29, + "learning_rate": 2.8547623119015048e-05, + "loss": 3.5776, + "step": 251000 + }, + { + "epoch": 4.3, + "learning_rate": 2.8504873461012316e-05, + "loss": 3.5628, + "step": 251500 + }, + { + "epoch": 4.31, + "learning_rate": 2.8462123803009578e-05, + "loss": 3.5765, + "step": 252000 + }, + { + "epoch": 4.32, + "learning_rate": 2.8419374145006843e-05, + "loss": 3.5115, + "step": 252500 + }, + { + "epoch": 4.33, + "learning_rate": 2.8376624487004105e-05, + "loss": 3.5378, + "step": 253000 + }, + { + "epoch": 4.33, + "learning_rate": 2.8333960328317378e-05, + "loss": 3.5737, + "step": 253500 + }, + { + "epoch": 4.34, + "learning_rate": 2.8291296169630644e-05, + "loss": 3.5697, + "step": 254000 + }, + { + "epoch": 4.35, + "learning_rate": 2.824854651162791e-05, + "loss": 3.5255, + "step": 254500 + }, + { + "epoch": 4.36, + "learning_rate": 2.820579685362517e-05, + "loss": 3.5434, + "step": 255000 + }, + { + "epoch": 4.37, + "learning_rate": 2.816304719562244e-05, + "loss": 3.5507, + "step": 255500 + }, + { + "epoch": 4.38, + "learning_rate": 2.8120383036935705e-05, + "loss": 3.5848, + "step": 256000 + }, + { + "epoch": 4.39, + "learning_rate": 2.8077633378932973e-05, + "loss": 3.5669, + "step": 256500 + }, + { + "epoch": 4.39, + "learning_rate": 2.803488372093023e-05, + "loss": 3.5171, + "step": 257000 + }, + { + "epoch": 4.4, + "learning_rate": 2.79921340629275e-05, + "loss": 3.5614, + "step": 257500 + }, + { + "epoch": 4.41, + "learning_rate": 2.794938440492476e-05, + "loss": 3.5958, + "step": 258000 + }, + { + "epoch": 4.42, + "learning_rate": 2.790663474692203e-05, + "loss": 3.5079, + "step": 258500 + }, + { + "epoch": 4.43, + "learning_rate": 2.7863885088919288e-05, + "loss": 3.5361, + "step": 259000 + }, + { + "epoch": 4.44, + "learning_rate": 2.7821135430916556e-05, + "loss": 3.4883, + "step": 259500 + }, + { + "epoch": 4.45, + "learning_rate": 2.7778385772913818e-05, + "loss": 3.5404, + "step": 260000 + }, + { + "epoch": 4.45, + "learning_rate": 2.7735636114911086e-05, + "loss": 3.5473, + "step": 260500 + }, + { + "epoch": 4.46, + "learning_rate": 2.7692886456908344e-05, + "loss": 3.5328, + "step": 261000 + }, + { + "epoch": 4.47, + "learning_rate": 2.765030779753762e-05, + "loss": 3.5019, + "step": 261500 + }, + { + "epoch": 4.48, + "learning_rate": 2.7607558139534883e-05, + "loss": 3.5022, + "step": 262000 + }, + { + "epoch": 4.49, + "learning_rate": 2.756480848153215e-05, + "loss": 3.5488, + "step": 262500 + }, + { + "epoch": 4.5, + "learning_rate": 2.7522058823529413e-05, + "loss": 3.5467, + "step": 263000 + }, + { + "epoch": 4.51, + "learning_rate": 2.7479309165526678e-05, + "loss": 3.5505, + "step": 263500 + }, + { + "epoch": 4.51, + "learning_rate": 2.743655950752394e-05, + "loss": 3.5297, + "step": 264000 + }, + { + "epoch": 4.52, + "learning_rate": 2.7393809849521208e-05, + "loss": 3.5056, + "step": 264500 + }, + { + "epoch": 4.53, + "learning_rate": 2.735106019151847e-05, + "loss": 3.5086, + "step": 265000 + }, + { + "epoch": 4.54, + "learning_rate": 2.7308310533515735e-05, + "loss": 3.5174, + "step": 265500 + }, + { + "epoch": 4.55, + "learning_rate": 2.7265646374829e-05, + "loss": 3.5264, + "step": 266000 + }, + { + "epoch": 4.56, + "learning_rate": 2.7223067715458278e-05, + "loss": 3.5034, + "step": 266500 + }, + { + "epoch": 4.57, + "learning_rate": 2.718031805745554e-05, + "loss": 3.4838, + "step": 267000 + }, + { + "epoch": 4.57, + "learning_rate": 2.7137568399452805e-05, + "loss": 3.4903, + "step": 267500 + }, + { + "epoch": 4.58, + "learning_rate": 2.7094818741450066e-05, + "loss": 3.5118, + "step": 268000 + }, + { + "epoch": 4.59, + "learning_rate": 2.7052069083447335e-05, + "loss": 3.5055, + "step": 268500 + }, + { + "epoch": 4.6, + "learning_rate": 2.7009319425444596e-05, + "loss": 3.5211, + "step": 269000 + }, + { + "epoch": 4.61, + "learning_rate": 2.696656976744186e-05, + "loss": 3.5344, + "step": 269500 + }, + { + "epoch": 4.62, + "learning_rate": 2.6923820109439123e-05, + "loss": 3.514, + "step": 270000 + }, + { + "epoch": 4.63, + "learning_rate": 2.688107045143639e-05, + "loss": 3.473, + "step": 270500 + }, + { + "epoch": 4.63, + "learning_rate": 2.6838320793433653e-05, + "loss": 3.4917, + "step": 271000 + }, + { + "epoch": 4.64, + "learning_rate": 2.6795571135430918e-05, + "loss": 3.5179, + "step": 271500 + }, + { + "epoch": 4.65, + "learning_rate": 2.675282147742818e-05, + "loss": 3.5437, + "step": 272000 + }, + { + "epoch": 4.66, + "learning_rate": 2.6710157318741452e-05, + "loss": 3.5061, + "step": 272500 + }, + { + "epoch": 4.67, + "learning_rate": 2.6667407660738714e-05, + "loss": 3.4961, + "step": 273000 + }, + { + "epoch": 4.68, + "learning_rate": 2.6624743502051986e-05, + "loss": 3.5111, + "step": 273500 + }, + { + "epoch": 4.69, + "learning_rate": 2.6582079343365256e-05, + "loss": 3.4927, + "step": 274000 + }, + { + "epoch": 4.69, + "learning_rate": 2.6539329685362518e-05, + "loss": 3.4917, + "step": 274500 + }, + { + "epoch": 4.7, + "learning_rate": 2.649658002735978e-05, + "loss": 3.5134, + "step": 275000 + }, + { + "epoch": 4.71, + "learning_rate": 2.6453830369357048e-05, + "loss": 3.5344, + "step": 275500 + }, + { + "epoch": 4.72, + "learning_rate": 2.641108071135431e-05, + "loss": 3.5493, + "step": 276000 + }, + { + "epoch": 4.73, + "learning_rate": 2.6368331053351574e-05, + "loss": 3.4894, + "step": 276500 + }, + { + "epoch": 4.74, + "learning_rate": 2.6325581395348836e-05, + "loss": 3.4784, + "step": 277000 + }, + { + "epoch": 4.75, + "learning_rate": 2.6282831737346104e-05, + "loss": 3.4885, + "step": 277500 + }, + { + "epoch": 4.75, + "learning_rate": 2.6240082079343366e-05, + "loss": 3.5024, + "step": 278000 + }, + { + "epoch": 4.76, + "learning_rate": 2.6197417920656635e-05, + "loss": 3.5195, + "step": 278500 + }, + { + "epoch": 4.77, + "learning_rate": 2.6154668262653897e-05, + "loss": 3.4709, + "step": 279000 + }, + { + "epoch": 4.78, + "learning_rate": 2.6111918604651165e-05, + "loss": 3.4902, + "step": 279500 + }, + { + "epoch": 4.79, + "learning_rate": 2.6069168946648427e-05, + "loss": 3.4905, + "step": 280000 + }, + { + "epoch": 4.8, + "learning_rate": 2.602641928864569e-05, + "loss": 3.5166, + "step": 280500 + }, + { + "epoch": 4.81, + "learning_rate": 2.5983669630642953e-05, + "loss": 3.5104, + "step": 281000 + }, + { + "epoch": 4.81, + "learning_rate": 2.594091997264022e-05, + "loss": 3.495, + "step": 281500 + }, + { + "epoch": 4.82, + "learning_rate": 2.5898170314637483e-05, + "loss": 3.4946, + "step": 282000 + }, + { + "epoch": 4.83, + "learning_rate": 2.5855506155950753e-05, + "loss": 3.4997, + "step": 282500 + }, + { + "epoch": 4.84, + "learning_rate": 2.5812756497948014e-05, + "loss": 3.5034, + "step": 283000 + }, + { + "epoch": 4.85, + "learning_rate": 2.5770006839945283e-05, + "loss": 3.5261, + "step": 283500 + }, + { + "epoch": 4.86, + "learning_rate": 2.5727342681258555e-05, + "loss": 3.4806, + "step": 284000 + }, + { + "epoch": 4.86, + "learning_rate": 2.568467852257182e-05, + "loss": 3.4998, + "step": 284500 + }, + { + "epoch": 4.87, + "learning_rate": 2.5641928864569086e-05, + "loss": 3.5056, + "step": 285000 + }, + { + "epoch": 4.88, + "learning_rate": 2.5599179206566348e-05, + "loss": 3.4693, + "step": 285500 + }, + { + "epoch": 4.89, + "learning_rate": 2.5556429548563616e-05, + "loss": 3.4825, + "step": 286000 + }, + { + "epoch": 4.9, + "learning_rate": 2.5513679890560878e-05, + "loss": 3.4755, + "step": 286500 + }, + { + "epoch": 4.91, + "learning_rate": 2.5470930232558143e-05, + "loss": 3.4791, + "step": 287000 + }, + { + "epoch": 4.92, + "learning_rate": 2.5428180574555405e-05, + "loss": 3.4761, + "step": 287500 + }, + { + "epoch": 4.92, + "learning_rate": 2.5385430916552666e-05, + "loss": 3.4529, + "step": 288000 + }, + { + "epoch": 4.93, + "learning_rate": 2.5342681258549934e-05, + "loss": 3.5147, + "step": 288500 + }, + { + "epoch": 4.94, + "learning_rate": 2.5299931600547193e-05, + "loss": 3.4524, + "step": 289000 + }, + { + "epoch": 4.95, + "learning_rate": 2.525718194254446e-05, + "loss": 3.4681, + "step": 289500 + }, + { + "epoch": 4.96, + "learning_rate": 2.5214432284541723e-05, + "loss": 3.4865, + "step": 290000 + }, + { + "epoch": 4.97, + "learning_rate": 2.517168262653899e-05, + "loss": 3.5144, + "step": 290500 + }, + { + "epoch": 4.98, + "learning_rate": 2.512893296853625e-05, + "loss": 3.4747, + "step": 291000 + }, + { + "epoch": 4.98, + "learning_rate": 2.5086183310533518e-05, + "loss": 3.4518, + "step": 291500 + }, + { + "epoch": 4.99, + "learning_rate": 2.504343365253078e-05, + "loss": 3.5175, + "step": 292000 + }, + { + "epoch": 5.0, + "learning_rate": 2.5000683994528044e-05, + "loss": 3.4788, + "step": 292500 + }, + { + "epoch": 5.01, + "learning_rate": 2.495793433652531e-05, + "loss": 3.4503, + "step": 293000 + }, + { + "epoch": 5.02, + "learning_rate": 2.491527017783858e-05, + "loss": 3.4625, + "step": 293500 + }, + { + "epoch": 5.03, + "learning_rate": 2.4872520519835844e-05, + "loss": 3.4698, + "step": 294000 + }, + { + "epoch": 5.04, + "learning_rate": 2.482977086183311e-05, + "loss": 3.4249, + "step": 294500 + }, + { + "epoch": 5.04, + "learning_rate": 2.478702120383037e-05, + "loss": 3.4456, + "step": 295000 + }, + { + "epoch": 5.05, + "learning_rate": 2.4744271545827635e-05, + "loss": 3.4807, + "step": 295500 + }, + { + "epoch": 5.06, + "learning_rate": 2.4701607387140905e-05, + "loss": 3.4461, + "step": 296000 + }, + { + "epoch": 5.07, + "learning_rate": 2.465885772913817e-05, + "loss": 3.4426, + "step": 296500 + }, + { + "epoch": 5.08, + "learning_rate": 2.461619357045144e-05, + "loss": 3.4572, + "step": 297000 + }, + { + "epoch": 5.09, + "learning_rate": 2.4573529411764705e-05, + "loss": 3.4423, + "step": 297500 + }, + { + "epoch": 5.1, + "learning_rate": 2.453077975376197e-05, + "loss": 3.4409, + "step": 298000 + }, + { + "epoch": 5.1, + "learning_rate": 2.4488030095759235e-05, + "loss": 3.4681, + "step": 298500 + }, + { + "epoch": 5.11, + "learning_rate": 2.44452804377565e-05, + "loss": 3.4573, + "step": 299000 + }, + { + "epoch": 5.12, + "learning_rate": 2.4402616279069766e-05, + "loss": 3.4584, + "step": 299500 + }, + { + "epoch": 5.13, + "learning_rate": 2.435986662106703e-05, + "loss": 3.4655, + "step": 300000 + }, + { + "epoch": 5.14, + "learning_rate": 2.4317116963064296e-05, + "loss": 3.4626, + "step": 300500 + }, + { + "epoch": 5.15, + "learning_rate": 2.427436730506156e-05, + "loss": 3.475, + "step": 301000 + }, + { + "epoch": 5.16, + "learning_rate": 2.4231617647058823e-05, + "loss": 3.4343, + "step": 301500 + }, + { + "epoch": 5.16, + "learning_rate": 2.4188867989056088e-05, + "loss": 3.4596, + "step": 302000 + }, + { + "epoch": 5.17, + "learning_rate": 2.4146118331053353e-05, + "loss": 3.419, + "step": 302500 + }, + { + "epoch": 5.18, + "learning_rate": 2.4103368673050618e-05, + "loss": 3.4769, + "step": 303000 + }, + { + "epoch": 5.19, + "learning_rate": 2.4060704514363887e-05, + "loss": 3.4209, + "step": 303500 + }, + { + "epoch": 5.2, + "learning_rate": 2.401795485636115e-05, + "loss": 3.4429, + "step": 304000 + }, + { + "epoch": 5.21, + "learning_rate": 2.3975205198358414e-05, + "loss": 3.4464, + "step": 304500 + }, + { + "epoch": 5.22, + "learning_rate": 2.393245554035568e-05, + "loss": 3.4602, + "step": 305000 + }, + { + "epoch": 5.22, + "learning_rate": 2.3889705882352943e-05, + "loss": 3.465, + "step": 305500 + }, + { + "epoch": 5.23, + "learning_rate": 2.3846956224350205e-05, + "loss": 3.4138, + "step": 306000 + }, + { + "epoch": 5.24, + "learning_rate": 2.380420656634747e-05, + "loss": 3.4305, + "step": 306500 + }, + { + "epoch": 5.25, + "learning_rate": 2.3761456908344735e-05, + "loss": 3.4451, + "step": 307000 + }, + { + "epoch": 5.26, + "learning_rate": 2.3718707250341997e-05, + "loss": 3.4466, + "step": 307500 + }, + { + "epoch": 5.27, + "learning_rate": 2.367595759233926e-05, + "loss": 3.471, + "step": 308000 + }, + { + "epoch": 5.28, + "learning_rate": 2.363329343365253e-05, + "loss": 3.4632, + "step": 308500 + }, + { + "epoch": 5.28, + "learning_rate": 2.3590543775649796e-05, + "loss": 3.4416, + "step": 309000 + }, + { + "epoch": 5.29, + "learning_rate": 2.354779411764706e-05, + "loss": 3.4338, + "step": 309500 + }, + { + "epoch": 5.3, + "learning_rate": 2.3505129958960327e-05, + "loss": 3.391, + "step": 310000 + }, + { + "epoch": 5.31, + "learning_rate": 2.3462380300957592e-05, + "loss": 3.4299, + "step": 310500 + }, + { + "epoch": 5.32, + "learning_rate": 2.3419630642954857e-05, + "loss": 3.4384, + "step": 311000 + }, + { + "epoch": 5.33, + "learning_rate": 2.3376880984952122e-05, + "loss": 3.414, + "step": 311500 + }, + { + "epoch": 5.34, + "learning_rate": 2.3334131326949384e-05, + "loss": 3.378, + "step": 312000 + }, + { + "epoch": 5.34, + "learning_rate": 2.329138166894665e-05, + "loss": 3.4163, + "step": 312500 + }, + { + "epoch": 5.35, + "learning_rate": 2.3248632010943914e-05, + "loss": 3.4059, + "step": 313000 + }, + { + "epoch": 5.36, + "learning_rate": 2.3205967852257183e-05, + "loss": 3.4266, + "step": 313500 + }, + { + "epoch": 5.37, + "learning_rate": 2.3163218194254445e-05, + "loss": 3.4346, + "step": 314000 + }, + { + "epoch": 5.38, + "learning_rate": 2.312046853625171e-05, + "loss": 3.4367, + "step": 314500 + }, + { + "epoch": 5.39, + "learning_rate": 2.3077718878248975e-05, + "loss": 3.4176, + "step": 315000 + }, + { + "epoch": 5.4, + "learning_rate": 2.303496922024624e-05, + "loss": 3.4402, + "step": 315500 + }, + { + "epoch": 5.4, + "learning_rate": 2.29922195622435e-05, + "loss": 3.4373, + "step": 316000 + }, + { + "epoch": 5.41, + "learning_rate": 2.2949469904240766e-05, + "loss": 3.3886, + "step": 316500 + }, + { + "epoch": 5.42, + "learning_rate": 2.290672024623803e-05, + "loss": 3.3978, + "step": 317000 + }, + { + "epoch": 5.43, + "learning_rate": 2.2863970588235296e-05, + "loss": 3.407, + "step": 317500 + }, + { + "epoch": 5.44, + "learning_rate": 2.2821220930232558e-05, + "loss": 3.4255, + "step": 318000 + }, + { + "epoch": 5.45, + "learning_rate": 2.2778471272229823e-05, + "loss": 3.4385, + "step": 318500 + }, + { + "epoch": 5.45, + "learning_rate": 2.2735807113543092e-05, + "loss": 3.403, + "step": 319000 + }, + { + "epoch": 5.46, + "learning_rate": 2.269314295485636e-05, + "loss": 3.4244, + "step": 319500 + }, + { + "epoch": 5.47, + "learning_rate": 2.2650393296853627e-05, + "loss": 3.4243, + "step": 320000 + }, + { + "epoch": 5.48, + "learning_rate": 2.2607643638850888e-05, + "loss": 3.427, + "step": 320500 + }, + { + "epoch": 5.49, + "learning_rate": 2.2564893980848153e-05, + "loss": 3.4355, + "step": 321000 + }, + { + "epoch": 5.5, + "learning_rate": 2.2522144322845418e-05, + "loss": 3.4011, + "step": 321500 + }, + { + "epoch": 5.51, + "learning_rate": 2.2479394664842683e-05, + "loss": 3.3819, + "step": 322000 + }, + { + "epoch": 5.51, + "learning_rate": 2.2436645006839945e-05, + "loss": 3.4081, + "step": 322500 + }, + { + "epoch": 5.52, + "learning_rate": 2.239389534883721e-05, + "loss": 3.3752, + "step": 323000 + }, + { + "epoch": 5.53, + "learning_rate": 2.2351145690834475e-05, + "loss": 3.4235, + "step": 323500 + }, + { + "epoch": 5.54, + "learning_rate": 2.2308481532147744e-05, + "loss": 3.4504, + "step": 324000 + }, + { + "epoch": 5.55, + "learning_rate": 2.2265731874145006e-05, + "loss": 3.4153, + "step": 324500 + }, + { + "epoch": 5.56, + "learning_rate": 2.2223067715458275e-05, + "loss": 3.4146, + "step": 325000 + }, + { + "epoch": 5.57, + "learning_rate": 2.218031805745554e-05, + "loss": 3.3772, + "step": 325500 + }, + { + "epoch": 5.57, + "learning_rate": 2.2137568399452805e-05, + "loss": 3.4264, + "step": 326000 + }, + { + "epoch": 5.58, + "learning_rate": 2.209481874145007e-05, + "loss": 3.3695, + "step": 326500 + }, + { + "epoch": 5.59, + "learning_rate": 2.205206908344733e-05, + "loss": 3.3935, + "step": 327000 + }, + { + "epoch": 5.6, + "learning_rate": 2.2009319425444597e-05, + "loss": 3.4186, + "step": 327500 + }, + { + "epoch": 5.61, + "learning_rate": 2.196656976744186e-05, + "loss": 3.4184, + "step": 328000 + }, + { + "epoch": 5.62, + "learning_rate": 2.1923820109439126e-05, + "loss": 3.4167, + "step": 328500 + }, + { + "epoch": 5.63, + "learning_rate": 2.1881070451436388e-05, + "loss": 3.397, + "step": 329000 + }, + { + "epoch": 5.63, + "learning_rate": 2.1838320793433653e-05, + "loss": 3.3996, + "step": 329500 + }, + { + "epoch": 5.64, + "learning_rate": 2.1795571135430918e-05, + "loss": 3.3878, + "step": 330000 + }, + { + "epoch": 5.65, + "learning_rate": 2.1752821477428183e-05, + "loss": 3.43, + "step": 330500 + }, + { + "epoch": 5.66, + "learning_rate": 2.1710071819425445e-05, + "loss": 3.4278, + "step": 331000 + }, + { + "epoch": 5.67, + "learning_rate": 2.1667407660738714e-05, + "loss": 3.3853, + "step": 331500 + }, + { + "epoch": 5.68, + "learning_rate": 2.162465800273598e-05, + "loss": 3.4041, + "step": 332000 + }, + { + "epoch": 5.69, + "learning_rate": 2.1581908344733244e-05, + "loss": 3.4038, + "step": 332500 + }, + { + "epoch": 5.69, + "learning_rate": 2.153924418604651e-05, + "loss": 3.3846, + "step": 333000 + }, + { + "epoch": 5.7, + "learning_rate": 2.1496494528043775e-05, + "loss": 3.3813, + "step": 333500 + }, + { + "epoch": 5.71, + "learning_rate": 2.145374487004104e-05, + "loss": 3.3934, + "step": 334000 + }, + { + "epoch": 5.72, + "learning_rate": 2.1410995212038305e-05, + "loss": 3.3566, + "step": 334500 + }, + { + "epoch": 5.73, + "learning_rate": 2.1368331053351574e-05, + "loss": 3.3997, + "step": 335000 + }, + { + "epoch": 5.74, + "learning_rate": 2.1325581395348836e-05, + "loss": 3.4148, + "step": 335500 + }, + { + "epoch": 5.75, + "learning_rate": 2.12828317373461e-05, + "loss": 3.3976, + "step": 336000 + }, + { + "epoch": 5.75, + "learning_rate": 2.1240082079343366e-05, + "loss": 3.3818, + "step": 336500 + }, + { + "epoch": 5.76, + "learning_rate": 2.119733242134063e-05, + "loss": 3.3871, + "step": 337000 + }, + { + "epoch": 5.77, + "learning_rate": 2.1154582763337893e-05, + "loss": 3.3902, + "step": 337500 + }, + { + "epoch": 5.78, + "learning_rate": 2.1111833105335158e-05, + "loss": 3.4124, + "step": 338000 + }, + { + "epoch": 5.79, + "learning_rate": 2.1069083447332423e-05, + "loss": 3.3734, + "step": 338500 + }, + { + "epoch": 5.8, + "learning_rate": 2.1026333789329684e-05, + "loss": 3.3685, + "step": 339000 + }, + { + "epoch": 5.81, + "learning_rate": 2.0983669630642954e-05, + "loss": 3.3705, + "step": 339500 + }, + { + "epoch": 5.81, + "learning_rate": 2.094091997264022e-05, + "loss": 3.4106, + "step": 340000 + }, + { + "epoch": 5.82, + "learning_rate": 2.0898170314637484e-05, + "loss": 3.353, + "step": 340500 + }, + { + "epoch": 5.83, + "learning_rate": 2.085542065663475e-05, + "loss": 3.3443, + "step": 341000 + }, + { + "epoch": 5.84, + "learning_rate": 2.081267099863201e-05, + "loss": 3.3696, + "step": 341500 + }, + { + "epoch": 5.85, + "learning_rate": 2.0769921340629275e-05, + "loss": 3.3473, + "step": 342000 + }, + { + "epoch": 5.86, + "learning_rate": 2.0727257181942545e-05, + "loss": 3.3947, + "step": 342500 + }, + { + "epoch": 5.87, + "learning_rate": 2.068450752393981e-05, + "loss": 3.3491, + "step": 343000 + }, + { + "epoch": 5.87, + "learning_rate": 2.064175786593707e-05, + "loss": 3.3899, + "step": 343500 + }, + { + "epoch": 5.88, + "learning_rate": 2.0599093707250344e-05, + "loss": 3.3883, + "step": 344000 + }, + { + "epoch": 5.89, + "learning_rate": 2.055634404924761e-05, + "loss": 3.3623, + "step": 344500 + }, + { + "epoch": 5.9, + "learning_rate": 2.051359439124487e-05, + "loss": 3.3721, + "step": 345000 + }, + { + "epoch": 5.91, + "learning_rate": 2.0470844733242135e-05, + "loss": 3.3933, + "step": 345500 + }, + { + "epoch": 5.92, + "learning_rate": 2.0428095075239397e-05, + "loss": 3.3948, + "step": 346000 + }, + { + "epoch": 5.93, + "learning_rate": 2.0385345417236662e-05, + "loss": 3.3827, + "step": 346500 + }, + { + "epoch": 5.93, + "learning_rate": 2.0342681258549935e-05, + "loss": 3.367, + "step": 347000 + }, + { + "epoch": 5.94, + "learning_rate": 2.0299931600547197e-05, + "loss": 3.3329, + "step": 347500 + }, + { + "epoch": 5.95, + "learning_rate": 2.025718194254446e-05, + "loss": 3.3715, + "step": 348000 + }, + { + "epoch": 5.96, + "learning_rate": 2.0214432284541723e-05, + "loss": 3.356, + "step": 348500 + }, + { + "epoch": 5.97, + "learning_rate": 2.0171682626538988e-05, + "loss": 3.3729, + "step": 349000 + }, + { + "epoch": 5.98, + "learning_rate": 2.0128932968536253e-05, + "loss": 3.4025, + "step": 349500 + }, + { + "epoch": 5.98, + "learning_rate": 2.0086268809849522e-05, + "loss": 3.3937, + "step": 350000 + }, + { + "epoch": 5.99, + "learning_rate": 2.0043519151846787e-05, + "loss": 3.3799, + "step": 350500 + }, + { + "epoch": 6.0, + "learning_rate": 2.0000854993160057e-05, + "loss": 3.3702, + "step": 351000 + }, + { + "epoch": 6.01, + "learning_rate": 1.9958105335157322e-05, + "loss": 3.3405, + "step": 351500 + }, + { + "epoch": 6.02, + "learning_rate": 1.9915441176470588e-05, + "loss": 3.3531, + "step": 352000 + }, + { + "epoch": 6.03, + "learning_rate": 1.9872691518467853e-05, + "loss": 3.3501, + "step": 352500 + }, + { + "epoch": 6.04, + "learning_rate": 1.9829941860465118e-05, + "loss": 3.3631, + "step": 353000 + }, + { + "epoch": 6.04, + "learning_rate": 1.9787192202462383e-05, + "loss": 3.3329, + "step": 353500 + }, + { + "epoch": 6.05, + "learning_rate": 1.9744442544459645e-05, + "loss": 3.3577, + "step": 354000 + }, + { + "epoch": 6.06, + "learning_rate": 1.970169288645691e-05, + "loss": 3.3682, + "step": 354500 + }, + { + "epoch": 6.07, + "learning_rate": 1.9658943228454174e-05, + "loss": 3.3475, + "step": 355000 + }, + { + "epoch": 6.08, + "learning_rate": 1.961619357045144e-05, + "loss": 3.3654, + "step": 355500 + }, + { + "epoch": 6.09, + "learning_rate": 1.95734439124487e-05, + "loss": 3.3688, + "step": 356000 + }, + { + "epoch": 6.1, + "learning_rate": 1.9530694254445966e-05, + "loss": 3.3577, + "step": 356500 + }, + { + "epoch": 6.1, + "learning_rate": 1.948794459644323e-05, + "loss": 3.3702, + "step": 357000 + }, + { + "epoch": 6.11, + "learning_rate": 1.9445194938440496e-05, + "loss": 3.3792, + "step": 357500 + }, + { + "epoch": 6.12, + "learning_rate": 1.9402445280437758e-05, + "loss": 3.3318, + "step": 358000 + }, + { + "epoch": 6.13, + "learning_rate": 1.935969562243502e-05, + "loss": 3.3837, + "step": 358500 + }, + { + "epoch": 6.14, + "learning_rate": 1.9316945964432284e-05, + "loss": 3.3358, + "step": 359000 + }, + { + "epoch": 6.15, + "learning_rate": 1.927419630642955e-05, + "loss": 3.3344, + "step": 359500 + }, + { + "epoch": 6.16, + "learning_rate": 1.9231446648426814e-05, + "loss": 3.3393, + "step": 360000 + }, + { + "epoch": 6.16, + "learning_rate": 1.9188696990424076e-05, + "loss": 3.3408, + "step": 360500 + }, + { + "epoch": 6.17, + "learning_rate": 1.914603283173735e-05, + "loss": 3.3467, + "step": 361000 + }, + { + "epoch": 6.18, + "learning_rate": 1.9103368673050618e-05, + "loss": 3.3644, + "step": 361500 + }, + { + "epoch": 6.19, + "learning_rate": 1.9060619015047883e-05, + "loss": 3.3719, + "step": 362000 + }, + { + "epoch": 6.2, + "learning_rate": 1.9017869357045144e-05, + "loss": 3.3658, + "step": 362500 + }, + { + "epoch": 6.21, + "learning_rate": 1.897511969904241e-05, + "loss": 3.313, + "step": 363000 + }, + { + "epoch": 6.22, + "learning_rate": 1.893245554035568e-05, + "loss": 3.3477, + "step": 363500 + }, + { + "epoch": 6.22, + "learning_rate": 1.8889705882352944e-05, + "loss": 3.3276, + "step": 364000 + }, + { + "epoch": 6.23, + "learning_rate": 1.884704172366621e-05, + "loss": 3.32, + "step": 364500 + }, + { + "epoch": 6.24, + "learning_rate": 1.8804292065663475e-05, + "loss": 3.3462, + "step": 365000 + }, + { + "epoch": 6.25, + "learning_rate": 1.876154240766074e-05, + "loss": 3.3172, + "step": 365500 + }, + { + "epoch": 6.26, + "learning_rate": 1.8718792749658005e-05, + "loss": 3.3422, + "step": 366000 + }, + { + "epoch": 6.27, + "learning_rate": 1.8676043091655267e-05, + "loss": 3.3399, + "step": 366500 + }, + { + "epoch": 6.28, + "learning_rate": 1.863329343365253e-05, + "loss": 3.3611, + "step": 367000 + }, + { + "epoch": 6.28, + "learning_rate": 1.8590543775649796e-05, + "loss": 3.3353, + "step": 367500 + }, + { + "epoch": 6.29, + "learning_rate": 1.8547879616963066e-05, + "loss": 3.3103, + "step": 368000 + }, + { + "epoch": 6.3, + "learning_rate": 1.850512995896033e-05, + "loss": 3.3291, + "step": 368500 + }, + { + "epoch": 6.31, + "learning_rate": 1.8462380300957593e-05, + "loss": 3.3194, + "step": 369000 + }, + { + "epoch": 6.32, + "learning_rate": 1.8419630642954857e-05, + "loss": 3.3426, + "step": 369500 + }, + { + "epoch": 6.33, + "learning_rate": 1.8376880984952122e-05, + "loss": 3.3213, + "step": 370000 + }, + { + "epoch": 6.34, + "learning_rate": 1.8334131326949387e-05, + "loss": 3.3214, + "step": 370500 + }, + { + "epoch": 6.34, + "learning_rate": 1.829138166894665e-05, + "loss": 3.3211, + "step": 371000 + }, + { + "epoch": 6.35, + "learning_rate": 1.8248632010943914e-05, + "loss": 3.3533, + "step": 371500 + }, + { + "epoch": 6.36, + "learning_rate": 1.820588235294118e-05, + "loss": 3.3376, + "step": 372000 + }, + { + "epoch": 6.37, + "learning_rate": 1.8163132694938444e-05, + "loss": 3.3151, + "step": 372500 + }, + { + "epoch": 6.38, + "learning_rate": 1.812046853625171e-05, + "loss": 3.3452, + "step": 373000 + }, + { + "epoch": 6.39, + "learning_rate": 1.8077718878248975e-05, + "loss": 3.2928, + "step": 373500 + }, + { + "epoch": 6.4, + "learning_rate": 1.803496922024624e-05, + "loss": 3.3321, + "step": 374000 + }, + { + "epoch": 6.4, + "learning_rate": 1.7992219562243505e-05, + "loss": 3.3356, + "step": 374500 + }, + { + "epoch": 6.41, + "learning_rate": 1.7949469904240767e-05, + "loss": 3.3358, + "step": 375000 + }, + { + "epoch": 6.42, + "learning_rate": 1.790672024623803e-05, + "loss": 3.3385, + "step": 375500 + }, + { + "epoch": 6.43, + "learning_rate": 1.7863970588235296e-05, + "loss": 3.3443, + "step": 376000 + }, + { + "epoch": 6.44, + "learning_rate": 1.7821306429548566e-05, + "loss": 3.3189, + "step": 376500 + }, + { + "epoch": 6.45, + "learning_rate": 1.7778556771545828e-05, + "loss": 3.3193, + "step": 377000 + }, + { + "epoch": 6.46, + "learning_rate": 1.7735807113543092e-05, + "loss": 3.3541, + "step": 377500 + }, + { + "epoch": 6.46, + "learning_rate": 1.7693057455540357e-05, + "loss": 3.3244, + "step": 378000 + }, + { + "epoch": 6.47, + "learning_rate": 1.7650307797537622e-05, + "loss": 3.3357, + "step": 378500 + }, + { + "epoch": 6.48, + "learning_rate": 1.7607643638850892e-05, + "loss": 3.3028, + "step": 379000 + }, + { + "epoch": 6.49, + "learning_rate": 1.7564893980848154e-05, + "loss": 3.2885, + "step": 379500 + }, + { + "epoch": 6.5, + "learning_rate": 1.752214432284542e-05, + "loss": 3.3094, + "step": 380000 + }, + { + "epoch": 6.51, + "learning_rate": 1.7479394664842683e-05, + "loss": 3.3171, + "step": 380500 + }, + { + "epoch": 6.52, + "learning_rate": 1.743664500683995e-05, + "loss": 3.3147, + "step": 381000 + }, + { + "epoch": 6.52, + "learning_rate": 1.739389534883721e-05, + "loss": 3.313, + "step": 381500 + }, + { + "epoch": 6.53, + "learning_rate": 1.7351145690834475e-05, + "loss": 3.3385, + "step": 382000 + }, + { + "epoch": 6.54, + "learning_rate": 1.730839603283174e-05, + "loss": 3.3173, + "step": 382500 + }, + { + "epoch": 6.55, + "learning_rate": 1.726573187414501e-05, + "loss": 3.3167, + "step": 383000 + }, + { + "epoch": 6.56, + "learning_rate": 1.7223067715458276e-05, + "loss": 3.2947, + "step": 383500 + }, + { + "epoch": 6.57, + "learning_rate": 1.718031805745554e-05, + "loss": 3.3185, + "step": 384000 + }, + { + "epoch": 6.57, + "learning_rate": 1.7137568399452805e-05, + "loss": 3.3438, + "step": 384500 + }, + { + "epoch": 6.58, + "learning_rate": 1.709481874145007e-05, + "loss": 3.3167, + "step": 385000 + }, + { + "epoch": 6.59, + "learning_rate": 1.7052069083447332e-05, + "loss": 3.3086, + "step": 385500 + }, + { + "epoch": 6.6, + "learning_rate": 1.7009319425444597e-05, + "loss": 3.3146, + "step": 386000 + }, + { + "epoch": 6.61, + "learning_rate": 1.6966569767441862e-05, + "loss": 3.3034, + "step": 386500 + }, + { + "epoch": 6.62, + "learning_rate": 1.692390560875513e-05, + "loss": 3.3163, + "step": 387000 + }, + { + "epoch": 6.63, + "learning_rate": 1.6881155950752396e-05, + "loss": 3.3306, + "step": 387500 + }, + { + "epoch": 6.63, + "learning_rate": 1.6838406292749658e-05, + "loss": 3.2904, + "step": 388000 + }, + { + "epoch": 6.64, + "learning_rate": 1.6795656634746923e-05, + "loss": 3.33, + "step": 388500 + }, + { + "epoch": 6.65, + "learning_rate": 1.6752906976744188e-05, + "loss": 3.2945, + "step": 389000 + }, + { + "epoch": 6.66, + "learning_rate": 1.671015731874145e-05, + "loss": 3.3257, + "step": 389500 + }, + { + "epoch": 6.67, + "learning_rate": 1.6667407660738714e-05, + "loss": 3.3196, + "step": 390000 + }, + { + "epoch": 6.68, + "learning_rate": 1.662465800273598e-05, + "loss": 3.3317, + "step": 390500 + }, + { + "epoch": 6.69, + "learning_rate": 1.6581908344733244e-05, + "loss": 3.2978, + "step": 391000 + }, + { + "epoch": 6.69, + "learning_rate": 1.6539158686730506e-05, + "loss": 3.3037, + "step": 391500 + }, + { + "epoch": 6.7, + "learning_rate": 1.6496494528043776e-05, + "loss": 3.2703, + "step": 392000 + }, + { + "epoch": 6.71, + "learning_rate": 1.645374487004104e-05, + "loss": 3.2918, + "step": 392500 + }, + { + "epoch": 6.72, + "learning_rate": 1.6410995212038305e-05, + "loss": 3.3257, + "step": 393000 + }, + { + "epoch": 6.73, + "learning_rate": 1.636824555403557e-05, + "loss": 3.2756, + "step": 393500 + }, + { + "epoch": 6.74, + "learning_rate": 1.6325581395348837e-05, + "loss": 3.3043, + "step": 394000 + }, + { + "epoch": 6.75, + "learning_rate": 1.62828317373461e-05, + "loss": 3.3169, + "step": 394500 + }, + { + "epoch": 6.75, + "learning_rate": 1.6240082079343366e-05, + "loss": 3.2976, + "step": 395000 + }, + { + "epoch": 6.76, + "learning_rate": 1.619733242134063e-05, + "loss": 3.2912, + "step": 395500 + }, + { + "epoch": 6.77, + "learning_rate": 1.6154582763337893e-05, + "loss": 3.2524, + "step": 396000 + }, + { + "epoch": 6.78, + "learning_rate": 1.6111918604651163e-05, + "loss": 3.293, + "step": 396500 + }, + { + "epoch": 6.79, + "learning_rate": 1.6069168946648427e-05, + "loss": 3.2664, + "step": 397000 + }, + { + "epoch": 6.8, + "learning_rate": 1.6026419288645692e-05, + "loss": 3.2705, + "step": 397500 + }, + { + "epoch": 6.81, + "learning_rate": 1.5983669630642954e-05, + "loss": 3.3202, + "step": 398000 + }, + { + "epoch": 6.81, + "learning_rate": 1.594091997264022e-05, + "loss": 3.3042, + "step": 398500 + }, + { + "epoch": 6.82, + "learning_rate": 1.589825581395349e-05, + "loss": 3.2975, + "step": 399000 + }, + { + "epoch": 6.83, + "learning_rate": 1.5855506155950753e-05, + "loss": 3.305, + "step": 399500 + }, + { + "epoch": 6.84, + "learning_rate": 1.581275649794802e-05, + "loss": 3.2572, + "step": 400000 + }, + { + "epoch": 6.85, + "learning_rate": 1.5770092339261285e-05, + "loss": 3.3046, + "step": 400500 + }, + { + "epoch": 6.86, + "learning_rate": 1.572734268125855e-05, + "loss": 3.2563, + "step": 401000 + }, + { + "epoch": 6.87, + "learning_rate": 1.5684593023255814e-05, + "loss": 3.2936, + "step": 401500 + }, + { + "epoch": 6.87, + "learning_rate": 1.564184336525308e-05, + "loss": 3.3103, + "step": 402000 + }, + { + "epoch": 6.88, + "learning_rate": 1.559909370725034e-05, + "loss": 3.2714, + "step": 402500 + }, + { + "epoch": 6.89, + "learning_rate": 1.5556344049247606e-05, + "loss": 3.3399, + "step": 403000 + }, + { + "epoch": 6.9, + "learning_rate": 1.551359439124487e-05, + "loss": 3.2546, + "step": 403500 + }, + { + "epoch": 6.91, + "learning_rate": 1.5470844733242136e-05, + "loss": 3.282, + "step": 404000 + }, + { + "epoch": 6.92, + "learning_rate": 1.5428180574555402e-05, + "loss": 3.2968, + "step": 404500 + }, + { + "epoch": 6.93, + "learning_rate": 1.5385430916552667e-05, + "loss": 3.2788, + "step": 405000 + }, + { + "epoch": 6.93, + "learning_rate": 1.5342681258549932e-05, + "loss": 3.2715, + "step": 405500 + }, + { + "epoch": 6.94, + "learning_rate": 1.5299931600547197e-05, + "loss": 3.261, + "step": 406000 + }, + { + "epoch": 6.95, + "learning_rate": 1.525718194254446e-05, + "loss": 3.2855, + "step": 406500 + }, + { + "epoch": 6.96, + "learning_rate": 1.521451778385773e-05, + "loss": 3.277, + "step": 407000 + }, + { + "epoch": 6.97, + "learning_rate": 1.5171853625170997e-05, + "loss": 3.3068, + "step": 407500 + }, + { + "epoch": 6.98, + "learning_rate": 1.5129103967168262e-05, + "loss": 3.2982, + "step": 408000 + }, + { + "epoch": 6.99, + "learning_rate": 1.5086354309165526e-05, + "loss": 3.2626, + "step": 408500 + }, + { + "epoch": 6.99, + "learning_rate": 1.504360465116279e-05, + "loss": 3.2685, + "step": 409000 + }, + { + "epoch": 7.0, + "learning_rate": 1.5000854993160054e-05, + "loss": 3.2705, + "step": 409500 + }, + { + "epoch": 7.01, + "learning_rate": 1.4958105335157319e-05, + "loss": 3.3044, + "step": 410000 + }, + { + "epoch": 7.02, + "learning_rate": 1.4915355677154582e-05, + "loss": 3.2707, + "step": 410500 + }, + { + "epoch": 7.03, + "learning_rate": 1.4872606019151847e-05, + "loss": 3.2798, + "step": 411000 + }, + { + "epoch": 7.04, + "learning_rate": 1.482985636114911e-05, + "loss": 3.2493, + "step": 411500 + }, + { + "epoch": 7.05, + "learning_rate": 1.4787106703146375e-05, + "loss": 3.2597, + "step": 412000 + }, + { + "epoch": 7.05, + "learning_rate": 1.4744357045143639e-05, + "loss": 3.275, + "step": 412500 + }, + { + "epoch": 7.06, + "learning_rate": 1.4701692886456908e-05, + "loss": 3.2734, + "step": 413000 + }, + { + "epoch": 7.07, + "learning_rate": 1.465902872777018e-05, + "loss": 3.2437, + "step": 413500 + }, + { + "epoch": 7.08, + "learning_rate": 1.4616279069767441e-05, + "loss": 3.2447, + "step": 414000 + }, + { + "epoch": 7.09, + "learning_rate": 1.4573529411764706e-05, + "loss": 3.293, + "step": 414500 + }, + { + "epoch": 7.1, + "learning_rate": 1.453077975376197e-05, + "loss": 3.2808, + "step": 415000 + }, + { + "epoch": 7.1, + "learning_rate": 1.4488030095759234e-05, + "loss": 3.2617, + "step": 415500 + }, + { + "epoch": 7.11, + "learning_rate": 1.4445280437756497e-05, + "loss": 3.2534, + "step": 416000 + }, + { + "epoch": 7.12, + "learning_rate": 1.4402530779753762e-05, + "loss": 3.2641, + "step": 416500 + }, + { + "epoch": 7.13, + "learning_rate": 1.4359781121751026e-05, + "loss": 3.2449, + "step": 417000 + }, + { + "epoch": 7.14, + "learning_rate": 1.431703146374829e-05, + "loss": 3.2399, + "step": 417500 + }, + { + "epoch": 7.15, + "learning_rate": 1.4274281805745554e-05, + "loss": 3.2933, + "step": 418000 + }, + { + "epoch": 7.16, + "learning_rate": 1.4231532147742819e-05, + "loss": 3.2522, + "step": 418500 + }, + { + "epoch": 7.16, + "learning_rate": 1.4188782489740082e-05, + "loss": 3.2584, + "step": 419000 + }, + { + "epoch": 7.17, + "learning_rate": 1.4146032831737347e-05, + "loss": 3.2633, + "step": 419500 + }, + { + "epoch": 7.18, + "learning_rate": 1.410328317373461e-05, + "loss": 3.2595, + "step": 420000 + }, + { + "epoch": 7.19, + "learning_rate": 1.4060533515731875e-05, + "loss": 3.233, + "step": 420500 + }, + { + "epoch": 7.2, + "learning_rate": 1.4017869357045143e-05, + "loss": 3.2439, + "step": 421000 + }, + { + "epoch": 7.21, + "learning_rate": 1.3975205198358413e-05, + "loss": 3.257, + "step": 421500 + }, + { + "epoch": 7.22, + "learning_rate": 1.3932455540355676e-05, + "loss": 3.2857, + "step": 422000 + }, + { + "epoch": 7.22, + "learning_rate": 1.3889705882352941e-05, + "loss": 3.25, + "step": 422500 + }, + { + "epoch": 7.23, + "learning_rate": 1.3846956224350204e-05, + "loss": 3.2634, + "step": 423000 + }, + { + "epoch": 7.24, + "learning_rate": 1.380420656634747e-05, + "loss": 3.2566, + "step": 423500 + }, + { + "epoch": 7.25, + "learning_rate": 1.3761456908344733e-05, + "loss": 3.2589, + "step": 424000 + }, + { + "epoch": 7.26, + "learning_rate": 1.3718707250341997e-05, + "loss": 3.284, + "step": 424500 + }, + { + "epoch": 7.27, + "learning_rate": 1.367595759233926e-05, + "loss": 3.2565, + "step": 425000 + }, + { + "epoch": 7.28, + "learning_rate": 1.3633207934336526e-05, + "loss": 3.2414, + "step": 425500 + }, + { + "epoch": 7.28, + "learning_rate": 1.3590543775649795e-05, + "loss": 3.2518, + "step": 426000 + }, + { + "epoch": 7.29, + "learning_rate": 1.3547794117647058e-05, + "loss": 3.2658, + "step": 426500 + }, + { + "epoch": 7.3, + "learning_rate": 1.3505044459644323e-05, + "loss": 3.262, + "step": 427000 + }, + { + "epoch": 7.31, + "learning_rate": 1.3462294801641587e-05, + "loss": 3.2322, + "step": 427500 + }, + { + "epoch": 7.32, + "learning_rate": 1.3419630642954856e-05, + "loss": 3.2504, + "step": 428000 + }, + { + "epoch": 7.33, + "learning_rate": 1.337688098495212e-05, + "loss": 3.2753, + "step": 428500 + }, + { + "epoch": 7.34, + "learning_rate": 1.3334131326949384e-05, + "loss": 3.2577, + "step": 429000 + }, + { + "epoch": 7.34, + "learning_rate": 1.3291381668946648e-05, + "loss": 3.2698, + "step": 429500 + }, + { + "epoch": 7.35, + "learning_rate": 1.3248632010943913e-05, + "loss": 3.2636, + "step": 430000 + }, + { + "epoch": 7.36, + "learning_rate": 1.3205882352941176e-05, + "loss": 3.249, + "step": 430500 + }, + { + "epoch": 7.37, + "learning_rate": 1.3163132694938441e-05, + "loss": 3.2515, + "step": 431000 + }, + { + "epoch": 7.38, + "learning_rate": 1.3120468536251709e-05, + "loss": 3.2606, + "step": 431500 + }, + { + "epoch": 7.39, + "learning_rate": 1.3077718878248974e-05, + "loss": 3.258, + "step": 432000 + }, + { + "epoch": 7.4, + "learning_rate": 1.3034969220246237e-05, + "loss": 3.2687, + "step": 432500 + }, + { + "epoch": 7.4, + "learning_rate": 1.2992219562243502e-05, + "loss": 3.2241, + "step": 433000 + }, + { + "epoch": 7.41, + "learning_rate": 1.2949469904240765e-05, + "loss": 3.2589, + "step": 433500 + }, + { + "epoch": 7.42, + "learning_rate": 1.2906805745554038e-05, + "loss": 3.2287, + "step": 434000 + }, + { + "epoch": 7.43, + "learning_rate": 1.28640560875513e-05, + "loss": 3.234, + "step": 434500 + }, + { + "epoch": 7.44, + "learning_rate": 1.2821306429548563e-05, + "loss": 3.2273, + "step": 435000 + }, + { + "epoch": 7.45, + "learning_rate": 1.2778642270861834e-05, + "loss": 3.2778, + "step": 435500 + }, + { + "epoch": 7.46, + "learning_rate": 1.2735892612859099e-05, + "loss": 3.2463, + "step": 436000 + }, + { + "epoch": 7.46, + "learning_rate": 1.2693142954856362e-05, + "loss": 3.2382, + "step": 436500 + }, + { + "epoch": 7.47, + "learning_rate": 1.2650393296853627e-05, + "loss": 3.2488, + "step": 437000 + }, + { + "epoch": 7.48, + "learning_rate": 1.2607729138166897e-05, + "loss": 3.254, + "step": 437500 + }, + { + "epoch": 7.49, + "learning_rate": 1.256497948016416e-05, + "loss": 3.1991, + "step": 438000 + }, + { + "epoch": 7.5, + "learning_rate": 1.2522229822161423e-05, + "loss": 3.2751, + "step": 438500 + }, + { + "epoch": 7.51, + "learning_rate": 1.2479480164158687e-05, + "loss": 3.2693, + "step": 439000 + }, + { + "epoch": 7.52, + "learning_rate": 1.2436730506155952e-05, + "loss": 3.2495, + "step": 439500 + }, + { + "epoch": 7.52, + "learning_rate": 1.2393980848153215e-05, + "loss": 3.2524, + "step": 440000 + }, + { + "epoch": 7.53, + "learning_rate": 1.235123119015048e-05, + "loss": 3.2337, + "step": 440500 + }, + { + "epoch": 7.54, + "learning_rate": 1.2308481532147743e-05, + "loss": 3.2655, + "step": 441000 + }, + { + "epoch": 7.55, + "learning_rate": 1.2265731874145008e-05, + "loss": 3.263, + "step": 441500 + }, + { + "epoch": 7.56, + "learning_rate": 1.2222982216142271e-05, + "loss": 3.2338, + "step": 442000 + }, + { + "epoch": 7.57, + "learning_rate": 1.2180232558139536e-05, + "loss": 3.2083, + "step": 442500 + }, + { + "epoch": 7.58, + "learning_rate": 1.21374829001368e-05, + "loss": 3.2351, + "step": 443000 + }, + { + "epoch": 7.58, + "learning_rate": 1.2094733242134065e-05, + "loss": 3.2481, + "step": 443500 + }, + { + "epoch": 7.59, + "learning_rate": 1.2051983584131328e-05, + "loss": 3.2739, + "step": 444000 + }, + { + "epoch": 7.6, + "learning_rate": 1.2009233926128593e-05, + "loss": 3.2697, + "step": 444500 + }, + { + "epoch": 7.61, + "learning_rate": 1.1966484268125854e-05, + "loss": 3.2032, + "step": 445000 + }, + { + "epoch": 7.62, + "learning_rate": 1.1923820109439126e-05, + "loss": 3.2565, + "step": 445500 + }, + { + "epoch": 7.63, + "learning_rate": 1.1881070451436389e-05, + "loss": 3.237, + "step": 446000 + }, + { + "epoch": 7.64, + "learning_rate": 1.1838406292749658e-05, + "loss": 3.2526, + "step": 446500 + }, + { + "epoch": 7.64, + "learning_rate": 1.1795656634746922e-05, + "loss": 3.2335, + "step": 447000 + }, + { + "epoch": 7.65, + "learning_rate": 1.1752906976744187e-05, + "loss": 3.2464, + "step": 447500 + }, + { + "epoch": 7.66, + "learning_rate": 1.171015731874145e-05, + "loss": 3.2647, + "step": 448000 + }, + { + "epoch": 7.67, + "learning_rate": 1.166749316005472e-05, + "loss": 3.2644, + "step": 448500 + }, + { + "epoch": 7.68, + "learning_rate": 1.162482900136799e-05, + "loss": 3.2278, + "step": 449000 + }, + { + "epoch": 7.69, + "learning_rate": 1.1582164842681258e-05, + "loss": 3.2506, + "step": 449500 + }, + { + "epoch": 7.69, + "learning_rate": 1.1539415184678523e-05, + "loss": 3.2518, + "step": 450000 + }, + { + "epoch": 7.7, + "learning_rate": 1.1496665526675787e-05, + "loss": 3.235, + "step": 450500 + }, + { + "epoch": 7.71, + "learning_rate": 1.1453915868673052e-05, + "loss": 3.2097, + "step": 451000 + }, + { + "epoch": 7.72, + "learning_rate": 1.1411166210670315e-05, + "loss": 3.2222, + "step": 451500 + }, + { + "epoch": 7.73, + "learning_rate": 1.136841655266758e-05, + "loss": 3.2005, + "step": 452000 + }, + { + "epoch": 7.74, + "learning_rate": 1.1325666894664843e-05, + "loss": 3.1938, + "step": 452500 + }, + { + "epoch": 7.75, + "learning_rate": 1.1282917236662108e-05, + "loss": 3.2184, + "step": 453000 + }, + { + "epoch": 7.75, + "learning_rate": 1.1240167578659371e-05, + "loss": 3.2335, + "step": 453500 + }, + { + "epoch": 7.76, + "learning_rate": 1.1197503419972641e-05, + "loss": 3.2127, + "step": 454000 + }, + { + "epoch": 7.77, + "learning_rate": 1.1154753761969904e-05, + "loss": 3.2088, + "step": 454500 + }, + { + "epoch": 7.78, + "learning_rate": 1.1112089603283174e-05, + "loss": 3.2448, + "step": 455000 + }, + { + "epoch": 7.79, + "learning_rate": 1.1069339945280439e-05, + "loss": 3.2104, + "step": 455500 + }, + { + "epoch": 7.8, + "learning_rate": 1.1026590287277702e-05, + "loss": 3.2223, + "step": 456000 + }, + { + "epoch": 7.81, + "learning_rate": 1.0983840629274967e-05, + "loss": 3.2369, + "step": 456500 + }, + { + "epoch": 7.81, + "learning_rate": 1.094109097127223e-05, + "loss": 3.2023, + "step": 457000 + }, + { + "epoch": 7.82, + "learning_rate": 1.0898341313269495e-05, + "loss": 3.2394, + "step": 457500 + }, + { + "epoch": 7.83, + "learning_rate": 1.0855591655266758e-05, + "loss": 3.2306, + "step": 458000 + }, + { + "epoch": 7.84, + "learning_rate": 1.0812841997264023e-05, + "loss": 3.2302, + "step": 458500 + }, + { + "epoch": 7.85, + "learning_rate": 1.0770092339261287e-05, + "loss": 3.2492, + "step": 459000 + }, + { + "epoch": 7.86, + "learning_rate": 1.0727342681258552e-05, + "loss": 3.1999, + "step": 459500 + }, + { + "epoch": 7.87, + "learning_rate": 1.0684593023255815e-05, + "loss": 3.2289, + "step": 460000 + }, + { + "epoch": 7.87, + "learning_rate": 1.064184336525308e-05, + "loss": 3.1947, + "step": 460500 + }, + { + "epoch": 7.88, + "learning_rate": 1.0599093707250341e-05, + "loss": 3.1999, + "step": 461000 + }, + { + "epoch": 7.89, + "learning_rate": 1.0556344049247606e-05, + "loss": 3.2143, + "step": 461500 + }, + { + "epoch": 7.9, + "learning_rate": 1.0513679890560876e-05, + "loss": 3.2127, + "step": 462000 + }, + { + "epoch": 7.91, + "learning_rate": 1.0470930232558141e-05, + "loss": 3.2414, + "step": 462500 + }, + { + "epoch": 7.92, + "learning_rate": 1.0428180574555404e-05, + "loss": 3.2481, + "step": 463000 + }, + { + "epoch": 7.93, + "learning_rate": 1.0385430916552669e-05, + "loss": 3.1932, + "step": 463500 + }, + { + "epoch": 7.93, + "learning_rate": 1.0342681258549932e-05, + "loss": 3.1899, + "step": 464000 + }, + { + "epoch": 7.94, + "learning_rate": 1.0299931600547196e-05, + "loss": 3.2225, + "step": 464500 + }, + { + "epoch": 7.95, + "learning_rate": 1.0257181942544459e-05, + "loss": 3.2112, + "step": 465000 + }, + { + "epoch": 7.96, + "learning_rate": 1.0214432284541724e-05, + "loss": 3.2088, + "step": 465500 + }, + { + "epoch": 7.97, + "learning_rate": 1.0171768125854993e-05, + "loss": 3.2226, + "step": 466000 + }, + { + "epoch": 7.98, + "learning_rate": 1.0129103967168263e-05, + "loss": 3.19, + "step": 466500 + }, + { + "epoch": 7.99, + "learning_rate": 1.0086354309165528e-05, + "loss": 3.2036, + "step": 467000 + }, + { + "epoch": 7.99, + "learning_rate": 1.0043604651162791e-05, + "loss": 3.221, + "step": 467500 + }, + { + "epoch": 8.0, + "learning_rate": 1.0000854993160056e-05, + "loss": 3.2074, + "step": 468000 + }, + { + "epoch": 8.01, + "learning_rate": 9.95810533515732e-06, + "loss": 3.1987, + "step": 468500 + }, + { + "epoch": 8.02, + "learning_rate": 9.915355677154584e-06, + "loss": 3.1829, + "step": 469000 + }, + { + "epoch": 8.03, + "learning_rate": 9.872606019151848e-06, + "loss": 3.1928, + "step": 469500 + }, + { + "epoch": 8.04, + "learning_rate": 9.829856361149113e-06, + "loss": 3.2033, + "step": 470000 + }, + { + "epoch": 8.05, + "learning_rate": 9.78719220246238e-06, + "loss": 3.2044, + "step": 470500 + }, + { + "epoch": 8.05, + "learning_rate": 9.744442544459645e-06, + "loss": 3.1988, + "step": 471000 + }, + { + "epoch": 8.06, + "learning_rate": 9.701692886456909e-06, + "loss": 3.2401, + "step": 471500 + }, + { + "epoch": 8.07, + "learning_rate": 9.658943228454174e-06, + "loss": 3.1829, + "step": 472000 + }, + { + "epoch": 8.08, + "learning_rate": 9.616193570451437e-06, + "loss": 3.1798, + "step": 472500 + }, + { + "epoch": 8.09, + "learning_rate": 9.573443912448702e-06, + "loss": 3.1866, + "step": 473000 + }, + { + "epoch": 8.1, + "learning_rate": 9.53077975376197e-06, + "loss": 3.178, + "step": 473500 + }, + { + "epoch": 8.11, + "learning_rate": 9.488030095759235e-06, + "loss": 3.203, + "step": 474000 + }, + { + "epoch": 8.11, + "learning_rate": 9.445280437756498e-06, + "loss": 3.1573, + "step": 474500 + }, + { + "epoch": 8.12, + "learning_rate": 9.402530779753763e-06, + "loss": 3.229, + "step": 475000 + }, + { + "epoch": 8.13, + "learning_rate": 9.359866621067032e-06, + "loss": 3.2164, + "step": 475500 + }, + { + "epoch": 8.14, + "learning_rate": 9.317202462380302e-06, + "loss": 3.2015, + "step": 476000 + }, + { + "epoch": 8.15, + "learning_rate": 9.274452804377567e-06, + "loss": 3.1918, + "step": 476500 + }, + { + "epoch": 8.16, + "learning_rate": 9.231703146374828e-06, + "loss": 3.1751, + "step": 477000 + }, + { + "epoch": 8.17, + "learning_rate": 9.188953488372093e-06, + "loss": 3.204, + "step": 477500 + }, + { + "epoch": 8.17, + "learning_rate": 9.146203830369357e-06, + "loss": 3.2142, + "step": 478000 + }, + { + "epoch": 8.18, + "learning_rate": 9.103454172366622e-06, + "loss": 3.1818, + "step": 478500 + }, + { + "epoch": 8.19, + "learning_rate": 9.060704514363885e-06, + "loss": 3.1766, + "step": 479000 + }, + { + "epoch": 8.2, + "learning_rate": 9.01795485636115e-06, + "loss": 3.2069, + "step": 479500 + }, + { + "epoch": 8.21, + "learning_rate": 8.975205198358413e-06, + "loss": 3.2092, + "step": 480000 + }, + { + "epoch": 8.22, + "learning_rate": 8.932455540355678e-06, + "loss": 3.1638, + "step": 480500 + }, + { + "epoch": 8.23, + "learning_rate": 8.889705882352941e-06, + "loss": 3.1489, + "step": 481000 + }, + { + "epoch": 8.23, + "learning_rate": 8.846956224350206e-06, + "loss": 3.2052, + "step": 481500 + }, + { + "epoch": 8.24, + "learning_rate": 8.80420656634747e-06, + "loss": 3.2058, + "step": 482000 + }, + { + "epoch": 8.25, + "learning_rate": 8.761542407660739e-06, + "loss": 3.1677, + "step": 482500 + }, + { + "epoch": 8.26, + "learning_rate": 8.718792749658002e-06, + "loss": 3.1631, + "step": 483000 + }, + { + "epoch": 8.27, + "learning_rate": 8.676043091655267e-06, + "loss": 3.1883, + "step": 483500 + }, + { + "epoch": 8.28, + "learning_rate": 8.633378932968537e-06, + "loss": 3.2155, + "step": 484000 + }, + { + "epoch": 8.28, + "learning_rate": 8.5906292749658e-06, + "loss": 3.1711, + "step": 484500 + }, + { + "epoch": 8.29, + "learning_rate": 8.547965116279071e-06, + "loss": 3.1825, + "step": 485000 + }, + { + "epoch": 8.3, + "learning_rate": 8.505215458276335e-06, + "loss": 3.2052, + "step": 485500 + }, + { + "epoch": 8.31, + "learning_rate": 8.4624658002736e-06, + "loss": 3.2135, + "step": 486000 + }, + { + "epoch": 8.32, + "learning_rate": 8.419716142270863e-06, + "loss": 3.181, + "step": 486500 + }, + { + "epoch": 8.33, + "learning_rate": 8.376966484268126e-06, + "loss": 3.1724, + "step": 487000 + }, + { + "epoch": 8.34, + "learning_rate": 8.3343878248974e-06, + "loss": 3.1972, + "step": 487500 + }, + { + "epoch": 8.34, + "learning_rate": 8.291638166894665e-06, + "loss": 3.2148, + "step": 488000 + }, + { + "epoch": 8.35, + "learning_rate": 8.248888508891928e-06, + "loss": 3.2156, + "step": 488500 + }, + { + "epoch": 8.36, + "learning_rate": 8.206138850889193e-06, + "loss": 3.1812, + "step": 489000 + }, + { + "epoch": 8.37, + "learning_rate": 8.163389192886457e-06, + "loss": 3.2076, + "step": 489500 + }, + { + "epoch": 8.38, + "learning_rate": 8.120639534883722e-06, + "loss": 3.2092, + "step": 490000 + }, + { + "epoch": 8.39, + "learning_rate": 8.077889876880985e-06, + "loss": 3.173, + "step": 490500 + }, + { + "epoch": 8.4, + "learning_rate": 8.03514021887825e-06, + "loss": 3.1829, + "step": 491000 + }, + { + "epoch": 8.4, + "learning_rate": 7.992390560875513e-06, + "loss": 3.1571, + "step": 491500 + }, + { + "epoch": 8.41, + "learning_rate": 7.949726402188783e-06, + "loss": 3.188, + "step": 492000 + }, + { + "epoch": 8.42, + "learning_rate": 7.906976744186048e-06, + "loss": 3.1643, + "step": 492500 + }, + { + "epoch": 8.43, + "learning_rate": 7.864227086183311e-06, + "loss": 3.1916, + "step": 493000 + }, + { + "epoch": 8.44, + "learning_rate": 7.821477428180576e-06, + "loss": 3.1885, + "step": 493500 + }, + { + "epoch": 8.45, + "learning_rate": 7.778727770177839e-06, + "loss": 3.1953, + "step": 494000 + }, + { + "epoch": 8.46, + "learning_rate": 7.735978112175102e-06, + "loss": 3.2119, + "step": 494500 + }, + { + "epoch": 8.46, + "learning_rate": 7.693228454172367e-06, + "loss": 3.18, + "step": 495000 + }, + { + "epoch": 8.47, + "learning_rate": 7.65047879616963e-06, + "loss": 3.1932, + "step": 495500 + }, + { + "epoch": 8.48, + "learning_rate": 7.607729138166896e-06, + "loss": 3.163, + "step": 496000 + }, + { + "epoch": 8.49, + "learning_rate": 7.565064979480164e-06, + "loss": 3.1755, + "step": 496500 + }, + { + "epoch": 8.5, + "learning_rate": 7.522315321477428e-06, + "loss": 3.1608, + "step": 497000 + }, + { + "epoch": 8.51, + "learning_rate": 7.479651162790698e-06, + "loss": 3.2063, + "step": 497500 + }, + { + "epoch": 8.52, + "learning_rate": 7.436901504787962e-06, + "loss": 3.1997, + "step": 498000 + }, + { + "epoch": 8.52, + "learning_rate": 7.394151846785226e-06, + "loss": 3.2201, + "step": 498500 + }, + { + "epoch": 8.53, + "learning_rate": 7.35140218878249e-06, + "loss": 3.2128, + "step": 499000 + }, + { + "epoch": 8.54, + "learning_rate": 7.308652530779754e-06, + "loss": 3.174, + "step": 499500 + }, + { + "epoch": 8.55, + "learning_rate": 7.2659028727770185e-06, + "loss": 3.1539, + "step": 500000 + }, + { + "epoch": 8.56, + "learning_rate": 7.223153214774283e-06, + "loss": 3.1559, + "step": 500500 + }, + { + "epoch": 8.57, + "learning_rate": 7.180403556771547e-06, + "loss": 3.18, + "step": 501000 + }, + { + "epoch": 8.58, + "learning_rate": 7.137739398084815e-06, + "loss": 3.1679, + "step": 501500 + }, + { + "epoch": 8.58, + "learning_rate": 7.0949897400820795e-06, + "loss": 3.1785, + "step": 502000 + }, + { + "epoch": 8.59, + "learning_rate": 7.05232558139535e-06, + "loss": 3.1777, + "step": 502500 + }, + { + "epoch": 8.6, + "learning_rate": 7.009575923392612e-06, + "loss": 3.18, + "step": 503000 + }, + { + "epoch": 8.61, + "learning_rate": 6.966826265389876e-06, + "loss": 3.1958, + "step": 503500 + }, + { + "epoch": 8.62, + "learning_rate": 6.9240766073871405e-06, + "loss": 3.2005, + "step": 504000 + }, + { + "epoch": 8.63, + "learning_rate": 6.881412448700411e-06, + "loss": 3.1982, + "step": 504500 + }, + { + "epoch": 8.64, + "learning_rate": 6.838662790697675e-06, + "loss": 3.1924, + "step": 505000 + }, + { + "epoch": 8.64, + "learning_rate": 6.795913132694939e-06, + "loss": 3.1817, + "step": 505500 + }, + { + "epoch": 8.65, + "learning_rate": 6.753163474692203e-06, + "loss": 3.2, + "step": 506000 + }, + { + "epoch": 8.66, + "learning_rate": 6.7104138166894665e-06, + "loss": 3.1722, + "step": 506500 + }, + { + "epoch": 8.67, + "learning_rate": 6.667664158686731e-06, + "loss": 3.1811, + "step": 507000 + }, + { + "epoch": 8.68, + "learning_rate": 6.624914500683995e-06, + "loss": 3.1592, + "step": 507500 + }, + { + "epoch": 8.69, + "learning_rate": 6.582164842681259e-06, + "loss": 3.2065, + "step": 508000 + }, + { + "epoch": 8.7, + "learning_rate": 6.539415184678523e-06, + "loss": 3.1703, + "step": 508500 + }, + { + "epoch": 8.7, + "learning_rate": 6.496665526675787e-06, + "loss": 3.1724, + "step": 509000 + }, + { + "epoch": 8.71, + "learning_rate": 6.453915868673051e-06, + "loss": 3.1255, + "step": 509500 + }, + { + "epoch": 8.72, + "learning_rate": 6.4111662106703145e-06, + "loss": 3.1615, + "step": 510000 + }, + { + "epoch": 8.73, + "learning_rate": 6.368502051983584e-06, + "loss": 3.1938, + "step": 510500 + }, + { + "epoch": 8.74, + "learning_rate": 6.325752393980848e-06, + "loss": 3.142, + "step": 511000 + }, + { + "epoch": 8.75, + "learning_rate": 6.283002735978112e-06, + "loss": 3.1953, + "step": 511500 + }, + { + "epoch": 8.76, + "learning_rate": 6.240253077975376e-06, + "loss": 3.1544, + "step": 512000 + }, + { + "epoch": 8.76, + "learning_rate": 6.1975034199726405e-06, + "loss": 3.1806, + "step": 512500 + }, + { + "epoch": 8.77, + "learning_rate": 6.154753761969905e-06, + "loss": 3.1752, + "step": 513000 + }, + { + "epoch": 8.78, + "learning_rate": 6.1121751025991795e-06, + "loss": 3.1478, + "step": 513500 + }, + { + "epoch": 8.79, + "learning_rate": 6.069425444596444e-06, + "loss": 3.1946, + "step": 514000 + }, + { + "epoch": 8.8, + "learning_rate": 6.026675786593707e-06, + "loss": 3.1854, + "step": 514500 + }, + { + "epoch": 8.81, + "learning_rate": 5.983926128590971e-06, + "loss": 3.1483, + "step": 515000 + }, + { + "epoch": 8.81, + "learning_rate": 5.941176470588235e-06, + "loss": 3.1759, + "step": 515500 + }, + { + "epoch": 8.82, + "learning_rate": 5.8985123119015054e-06, + "loss": 3.1728, + "step": 516000 + }, + { + "epoch": 8.83, + "learning_rate": 5.8557626538987696e-06, + "loss": 3.1681, + "step": 516500 + }, + { + "epoch": 8.84, + "learning_rate": 5.813012995896034e-06, + "loss": 3.1593, + "step": 517000 + }, + { + "epoch": 8.85, + "learning_rate": 5.770263337893298e-06, + "loss": 3.1827, + "step": 517500 + }, + { + "epoch": 8.86, + "learning_rate": 5.727513679890561e-06, + "loss": 3.2048, + "step": 518000 + }, + { + "epoch": 8.87, + "learning_rate": 5.684764021887825e-06, + "loss": 3.1656, + "step": 518500 + }, + { + "epoch": 8.87, + "learning_rate": 5.642014363885089e-06, + "loss": 3.1457, + "step": 519000 + }, + { + "epoch": 8.88, + "learning_rate": 5.5992647058823535e-06, + "loss": 3.1451, + "step": 519500 + }, + { + "epoch": 8.89, + "learning_rate": 5.556515047879618e-06, + "loss": 3.1706, + "step": 520000 + }, + { + "epoch": 8.9, + "learning_rate": 5.513765389876882e-06, + "loss": 3.1531, + "step": 520500 + }, + { + "epoch": 8.91, + "learning_rate": 5.471101231190151e-06, + "loss": 3.1532, + "step": 521000 + }, + { + "epoch": 8.92, + "learning_rate": 5.4283515731874145e-06, + "loss": 3.1407, + "step": 521500 + }, + { + "epoch": 8.93, + "learning_rate": 5.385601915184679e-06, + "loss": 3.1875, + "step": 522000 + }, + { + "epoch": 8.93, + "learning_rate": 5.342852257181943e-06, + "loss": 3.1943, + "step": 522500 + }, + { + "epoch": 8.94, + "learning_rate": 5.300102599179207e-06, + "loss": 3.1857, + "step": 523000 + }, + { + "epoch": 8.95, + "learning_rate": 5.257352941176471e-06, + "loss": 3.1714, + "step": 523500 + }, + { + "epoch": 8.96, + "learning_rate": 5.214603283173735e-06, + "loss": 3.1704, + "step": 524000 + }, + { + "epoch": 8.97, + "learning_rate": 5.171853625170999e-06, + "loss": 3.134, + "step": 524500 + }, + { + "epoch": 8.98, + "learning_rate": 5.129103967168263e-06, + "loss": 3.1762, + "step": 525000 + }, + { + "epoch": 8.99, + "learning_rate": 5.086439808481532e-06, + "loss": 3.1784, + "step": 525500 + }, + { + "epoch": 8.99, + "learning_rate": 5.043690150478796e-06, + "loss": 3.1301, + "step": 526000 + }, + { + "epoch": 9.0, + "learning_rate": 5.00094049247606e-06, + "loss": 3.1415, + "step": 526500 + }, + { + "epoch": 9.01, + "learning_rate": 4.95827633378933e-06, + "loss": 3.1466, + "step": 527000 + }, + { + "epoch": 9.02, + "learning_rate": 4.915526675786594e-06, + "loss": 3.1724, + "step": 527500 + }, + { + "epoch": 9.03, + "learning_rate": 4.872777017783858e-06, + "loss": 3.1706, + "step": 528000 + }, + { + "epoch": 9.04, + "learning_rate": 4.8301128590971275e-06, + "loss": 3.1396, + "step": 528500 + }, + { + "epoch": 9.05, + "learning_rate": 4.787363201094392e-06, + "loss": 3.1442, + "step": 529000 + }, + { + "epoch": 9.05, + "learning_rate": 4.744613543091656e-06, + "loss": 3.16, + "step": 529500 + }, + { + "epoch": 9.06, + "learning_rate": 4.70186388508892e-06, + "loss": 3.1694, + "step": 530000 + }, + { + "epoch": 9.07, + "learning_rate": 4.659114227086184e-06, + "loss": 3.1395, + "step": 530500 + }, + { + "epoch": 9.08, + "learning_rate": 4.616364569083448e-06, + "loss": 3.1536, + "step": 531000 + }, + { + "epoch": 9.09, + "learning_rate": 4.573614911080711e-06, + "loss": 3.1339, + "step": 531500 + }, + { + "epoch": 9.1, + "learning_rate": 4.5308652530779755e-06, + "loss": 3.1808, + "step": 532000 + }, + { + "epoch": 9.11, + "learning_rate": 4.48811559507524e-06, + "loss": 3.1568, + "step": 532500 + }, + { + "epoch": 9.11, + "learning_rate": 4.445365937072504e-06, + "loss": 3.1689, + "step": 533000 + }, + { + "epoch": 9.12, + "learning_rate": 4.402616279069768e-06, + "loss": 3.1291, + "step": 533500 + }, + { + "epoch": 9.13, + "learning_rate": 4.359866621067032e-06, + "loss": 3.134, + "step": 534000 + }, + { + "epoch": 9.14, + "learning_rate": 4.317116963064296e-06, + "loss": 3.1325, + "step": 534500 + }, + { + "epoch": 9.15, + "learning_rate": 4.27453830369357e-06, + "loss": 3.1295, + "step": 535000 + }, + { + "epoch": 9.16, + "learning_rate": 4.2318741450068404e-06, + "loss": 3.1305, + "step": 535500 + }, + { + "epoch": 9.17, + "learning_rate": 4.1891244870041046e-06, + "loss": 3.1508, + "step": 536000 + }, + { + "epoch": 9.17, + "learning_rate": 4.146374829001369e-06, + "loss": 3.1902, + "step": 536500 + }, + { + "epoch": 9.18, + "learning_rate": 4.103625170998633e-06, + "loss": 3.1244, + "step": 537000 + }, + { + "epoch": 9.19, + "learning_rate": 4.060875512995897e-06, + "loss": 3.157, + "step": 537500 + }, + { + "epoch": 9.2, + "learning_rate": 4.01812585499316e-06, + "loss": 3.1585, + "step": 538000 + }, + { + "epoch": 9.21, + "learning_rate": 3.975376196990424e-06, + "loss": 3.1007, + "step": 538500 + }, + { + "epoch": 9.22, + "learning_rate": 3.9326265389876885e-06, + "loss": 3.1622, + "step": 539000 + }, + { + "epoch": 9.23, + "learning_rate": 3.8898768809849526e-06, + "loss": 3.1682, + "step": 539500 + }, + { + "epoch": 9.23, + "learning_rate": 3.847127222982217e-06, + "loss": 3.1487, + "step": 540000 + }, + { + "epoch": 9.24, + "learning_rate": 3.804548563611491e-06, + "loss": 3.1649, + "step": 540500 + }, + { + "epoch": 9.25, + "learning_rate": 3.7617989056087552e-06, + "loss": 3.1929, + "step": 541000 + }, + { + "epoch": 9.26, + "learning_rate": 3.7190492476060194e-06, + "loss": 3.1339, + "step": 541500 + }, + { + "epoch": 9.27, + "learning_rate": 3.676299589603283e-06, + "loss": 3.143, + "step": 542000 + }, + { + "epoch": 9.28, + "learning_rate": 3.633549931600547e-06, + "loss": 3.1158, + "step": 542500 + }, + { + "epoch": 9.29, + "learning_rate": 3.5908002735978113e-06, + "loss": 3.1746, + "step": 543000 + }, + { + "epoch": 9.29, + "learning_rate": 3.5480506155950754e-06, + "loss": 3.1143, + "step": 543500 + }, + { + "epoch": 9.3, + "learning_rate": 3.5053009575923396e-06, + "loss": 3.156, + "step": 544000 + }, + { + "epoch": 9.31, + "learning_rate": 3.4625512995896033e-06, + "loss": 3.1217, + "step": 544500 + }, + { + "epoch": 9.32, + "learning_rate": 3.4198871409028728e-06, + "loss": 3.1251, + "step": 545000 + }, + { + "epoch": 9.33, + "learning_rate": 3.377137482900137e-06, + "loss": 3.1339, + "step": 545500 + }, + { + "epoch": 9.34, + "learning_rate": 3.334387824897401e-06, + "loss": 3.176, + "step": 546000 + }, + { + "epoch": 9.35, + "learning_rate": 3.291638166894665e-06, + "loss": 3.1378, + "step": 546500 + }, + { + "epoch": 9.35, + "learning_rate": 3.2489740082079346e-06, + "loss": 3.1107, + "step": 547000 + }, + { + "epoch": 9.36, + "learning_rate": 3.2062243502051983e-06, + "loss": 3.1422, + "step": 547500 + }, + { + "epoch": 9.37, + "learning_rate": 3.1634746922024624e-06, + "loss": 3.1579, + "step": 548000 + }, + { + "epoch": 9.38, + "learning_rate": 3.120810533515732e-06, + "loss": 3.1277, + "step": 548500 + }, + { + "epoch": 9.39, + "learning_rate": 3.078060875512996e-06, + "loss": 3.1489, + "step": 549000 + }, + { + "epoch": 9.4, + "learning_rate": 3.03531121751026e-06, + "loss": 3.1494, + "step": 549500 + }, + { + "epoch": 9.4, + "learning_rate": 2.992561559507524e-06, + "loss": 3.1361, + "step": 550000 + }, + { + "epoch": 9.41, + "learning_rate": 2.949811901504788e-06, + "loss": 3.1434, + "step": 550500 + }, + { + "epoch": 9.42, + "learning_rate": 2.907062243502052e-06, + "loss": 3.1542, + "step": 551000 + }, + { + "epoch": 9.43, + "learning_rate": 2.8643125854993162e-06, + "loss": 3.1341, + "step": 551500 + }, + { + "epoch": 9.44, + "learning_rate": 2.82156292749658e-06, + "loss": 3.1375, + "step": 552000 + }, + { + "epoch": 9.45, + "learning_rate": 2.778813269493844e-06, + "loss": 3.1461, + "step": 552500 + }, + { + "epoch": 9.46, + "learning_rate": 2.736063611491108e-06, + "loss": 3.1571, + "step": 553000 + }, + { + "epoch": 9.46, + "learning_rate": 2.6933139534883723e-06, + "loss": 3.1532, + "step": 553500 + }, + { + "epoch": 9.47, + "learning_rate": 2.650649794801642e-06, + "loss": 3.1184, + "step": 554000 + }, + { + "epoch": 9.48, + "learning_rate": 2.607985636114911e-06, + "loss": 3.1441, + "step": 554500 + }, + { + "epoch": 9.49, + "learning_rate": 2.565235978112175e-06, + "loss": 3.137, + "step": 555000 + }, + { + "epoch": 9.5, + "learning_rate": 2.522486320109439e-06, + "loss": 3.1563, + "step": 555500 + }, + { + "epoch": 9.51, + "learning_rate": 2.4797366621067032e-06, + "loss": 3.1726, + "step": 556000 + }, + { + "epoch": 9.52, + "learning_rate": 2.436987004103967e-06, + "loss": 3.14, + "step": 556500 + }, + { + "epoch": 9.52, + "learning_rate": 2.394237346101231e-06, + "loss": 3.1285, + "step": 557000 + }, + { + "epoch": 9.53, + "learning_rate": 2.3516586867305063e-06, + "loss": 3.1474, + "step": 557500 + }, + { + "epoch": 9.54, + "learning_rate": 2.30890902872777e-06, + "loss": 3.1652, + "step": 558000 + }, + { + "epoch": 9.55, + "learning_rate": 2.266159370725034e-06, + "loss": 3.1567, + "step": 558500 + }, + { + "epoch": 9.56, + "learning_rate": 2.2234097127222983e-06, + "loss": 3.1305, + "step": 559000 + }, + { + "epoch": 9.57, + "learning_rate": 2.1806600547195624e-06, + "loss": 3.1402, + "step": 559500 + }, + { + "epoch": 9.58, + "learning_rate": 2.137910396716826e-06, + "loss": 3.159, + "step": 560000 + }, + { + "epoch": 9.58, + "learning_rate": 2.0951607387140902e-06, + "loss": 3.1684, + "step": 560500 + }, + { + "epoch": 9.59, + "learning_rate": 2.0524110807113544e-06, + "loss": 3.1483, + "step": 561000 + }, + { + "epoch": 9.6, + "learning_rate": 2.0096614227086185e-06, + "loss": 3.1277, + "step": 561500 + }, + { + "epoch": 9.61, + "learning_rate": 1.9669117647058826e-06, + "loss": 3.1447, + "step": 562000 + }, + { + "epoch": 9.62, + "learning_rate": 1.9241621067031463e-06, + "loss": 3.1503, + "step": 562500 + }, + { + "epoch": 9.63, + "learning_rate": 1.8814124487004106e-06, + "loss": 3.1172, + "step": 563000 + }, + { + "epoch": 9.64, + "learning_rate": 1.8386627906976743e-06, + "loss": 3.1413, + "step": 563500 + }, + { + "epoch": 9.64, + "learning_rate": 1.795998632010944e-06, + "loss": 3.1049, + "step": 564000 + }, + { + "epoch": 9.65, + "learning_rate": 1.7533344733242133e-06, + "loss": 3.1588, + "step": 564500 + }, + { + "epoch": 9.66, + "learning_rate": 1.7105848153214774e-06, + "loss": 3.1232, + "step": 565000 + }, + { + "epoch": 9.67, + "learning_rate": 1.6678351573187416e-06, + "loss": 3.1404, + "step": 565500 + }, + { + "epoch": 9.68, + "learning_rate": 1.6250854993160057e-06, + "loss": 3.1532, + "step": 566000 + }, + { + "epoch": 9.69, + "learning_rate": 1.5823358413132694e-06, + "loss": 3.111, + "step": 566500 + }, + { + "epoch": 9.7, + "learning_rate": 1.5395861833105335e-06, + "loss": 3.1191, + "step": 567000 + }, + { + "epoch": 9.7, + "learning_rate": 1.4968365253077976e-06, + "loss": 3.1338, + "step": 567500 + }, + { + "epoch": 9.71, + "learning_rate": 1.4540868673050615e-06, + "loss": 3.116, + "step": 568000 + }, + { + "epoch": 9.72, + "learning_rate": 1.4113372093023257e-06, + "loss": 3.138, + "step": 568500 + }, + { + "epoch": 9.73, + "learning_rate": 1.3685875512995896e-06, + "loss": 3.1462, + "step": 569000 + }, + { + "epoch": 9.74, + "learning_rate": 1.3258378932968537e-06, + "loss": 3.1099, + "step": 569500 + }, + { + "epoch": 9.75, + "learning_rate": 1.2830882352941176e-06, + "loss": 3.1449, + "step": 570000 + }, + { + "epoch": 9.76, + "learning_rate": 1.2403385772913817e-06, + "loss": 3.1476, + "step": 570500 + }, + { + "epoch": 9.76, + "learning_rate": 1.1977599179206568e-06, + "loss": 3.091, + "step": 571000 + }, + { + "epoch": 9.77, + "learning_rate": 1.1550102599179207e-06, + "loss": 3.1714, + "step": 571500 + }, + { + "epoch": 9.78, + "learning_rate": 1.1122606019151848e-06, + "loss": 3.1462, + "step": 572000 + }, + { + "epoch": 9.79, + "learning_rate": 1.0695109439124488e-06, + "loss": 3.0987, + "step": 572500 + }, + { + "epoch": 9.8, + "learning_rate": 1.0267612859097129e-06, + "loss": 3.1309, + "step": 573000 + }, + { + "epoch": 9.81, + "learning_rate": 9.840116279069768e-07, + "loss": 3.1129, + "step": 573500 + }, + { + "epoch": 9.82, + "learning_rate": 9.412619699042408e-07, + "loss": 3.124, + "step": 574000 + }, + { + "epoch": 9.82, + "learning_rate": 8.985978112175103e-07, + "loss": 3.1447, + "step": 574500 + }, + { + "epoch": 9.83, + "learning_rate": 8.559336525307799e-07, + "loss": 3.1516, + "step": 575000 + }, + { + "epoch": 9.84, + "learning_rate": 8.131839945280438e-07, + "loss": 3.1407, + "step": 575500 + }, + { + "epoch": 9.85, + "learning_rate": 7.705198358413133e-07, + "loss": 3.1609, + "step": 576000 + }, + { + "epoch": 9.86, + "learning_rate": 7.277701778385773e-07, + "loss": 3.1213, + "step": 576500 + }, + { + "epoch": 9.87, + "learning_rate": 6.850205198358413e-07, + "loss": 3.1234, + "step": 577000 + }, + { + "epoch": 9.88, + "learning_rate": 6.422708618331053e-07, + "loss": 3.1042, + "step": 577500 + }, + { + "epoch": 9.88, + "learning_rate": 5.995212038303694e-07, + "loss": 3.1261, + "step": 578000 + }, + { + "epoch": 9.89, + "learning_rate": 5.567715458276334e-07, + "loss": 3.1196, + "step": 578500 + }, + { + "epoch": 9.9, + "learning_rate": 5.140218878248974e-07, + "loss": 3.1622, + "step": 579000 + }, + { + "epoch": 9.91, + "learning_rate": 4.712722298221614e-07, + "loss": 3.1254, + "step": 579500 + }, + { + "epoch": 9.92, + "learning_rate": 4.2852257181942543e-07, + "loss": 3.1291, + "step": 580000 + }, + { + "epoch": 9.93, + "learning_rate": 3.857729138166895e-07, + "loss": 3.0939, + "step": 580500 + }, + { + "epoch": 9.94, + "learning_rate": 3.430232558139535e-07, + "loss": 3.1597, + "step": 581000 + }, + { + "epoch": 9.94, + "learning_rate": 3.002735978112175e-07, + "loss": 3.1454, + "step": 581500 + }, + { + "epoch": 9.95, + "learning_rate": 2.575239398084815e-07, + "loss": 3.1569, + "step": 582000 + }, + { + "epoch": 9.96, + "learning_rate": 2.1485978112175104e-07, + "loss": 3.1016, + "step": 582500 + }, + { + "epoch": 9.97, + "learning_rate": 1.7219562243502053e-07, + "loss": 3.1268, + "step": 583000 + }, + { + "epoch": 9.98, + "learning_rate": 1.2944596443228454e-07, + "loss": 3.1422, + "step": 583500 + }, + { + "epoch": 9.99, + "learning_rate": 8.669630642954856e-08, + "loss": 3.1132, + "step": 584000 + }, + { + "epoch": 9.99, + "learning_rate": 4.394664842681259e-08, + "loss": 3.1218, + "step": 584500 + }, + { + "epoch": 10.0, + "step": 584800, + "total_flos": 5.454351260793078e+18, + "train_loss": 3.7000725246486845, + "train_runtime": 189673.1431, + "train_samples_per_second": 30.832, + "train_steps_per_second": 3.083 + } + ], + "logging_steps": 500, + "max_steps": 584800, + "num_train_epochs": 10, + "save_steps": 100000, + "total_flos": 5.454351260793078e+18, + "trial_name": null, + "trial_params": null +}