{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.03555620056599666, "eval_steps": 500, "global_step": 490, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0007256367462448298, "grad_norm": 12.0, "learning_rate": 5e-05, "loss": 3.0993, "step": 10 }, { "epoch": 0.0014512734924896596, "grad_norm": 10.4375, "learning_rate": 0.0001, "loss": 2.208, "step": 20 }, { "epoch": 0.0021769102387344894, "grad_norm": 6.5625, "learning_rate": 0.00015, "loss": 1.3285, "step": 30 }, { "epoch": 0.0029025469849793192, "grad_norm": 6.21875, "learning_rate": 0.0002, "loss": 0.6895, "step": 40 }, { "epoch": 0.003628183731224149, "grad_norm": 4.15625, "learning_rate": 0.00025, "loss": 0.714, "step": 50 }, { "epoch": 0.004353820477468979, "grad_norm": 4.71875, "learning_rate": 0.0003, "loss": 0.4849, "step": 60 }, { "epoch": 0.005079457223713809, "grad_norm": 3.828125, "learning_rate": 0.00035, "loss": 0.3671, "step": 70 }, { "epoch": 0.0058050939699586385, "grad_norm": 4.03125, "learning_rate": 0.0004, "loss": 0.5693, "step": 80 }, { "epoch": 0.006530730716203468, "grad_norm": 3.296875, "learning_rate": 0.00045000000000000004, "loss": 0.4133, "step": 90 }, { "epoch": 0.007256367462448298, "grad_norm": 2.640625, "learning_rate": 0.0005, "loss": 0.2668, "step": 100 }, { "epoch": 0.007982004208693128, "grad_norm": 1.5859375, "learning_rate": 0.000499999340865746, "loss": 0.2922, "step": 110 }, { "epoch": 0.008707640954937958, "grad_norm": 3.8125, "learning_rate": 0.0004999973634664594, "loss": 0.3996, "step": 120 }, { "epoch": 0.009433277701182788, "grad_norm": 2.0625, "learning_rate": 0.0004999940678125673, "loss": 0.2841, "step": 130 }, { "epoch": 0.010158914447427617, "grad_norm": 3.390625, "learning_rate": 0.000499989453921448, "loss": 0.3003, "step": 140 }, { "epoch": 0.010884551193672447, "grad_norm": 1.65625, "learning_rate": 0.0004999835218174307, "loss": 0.2747, "step": 150 }, { "epoch": 0.011610187939917277, "grad_norm": 1.671875, "learning_rate": 0.000499976271531796, "loss": 0.37, "step": 160 }, { "epoch": 0.012335824686162107, "grad_norm": 1.0390625, "learning_rate": 0.000499967703102775, "loss": 0.2163, "step": 170 }, { "epoch": 0.013061461432406937, "grad_norm": 2.546875, "learning_rate": 0.00049995781657555, "loss": 0.3652, "step": 180 }, { "epoch": 0.013787098178651766, "grad_norm": 3.71875, "learning_rate": 0.000499946612002253, "loss": 0.3177, "step": 190 }, { "epoch": 0.014512734924896596, "grad_norm": 2.6875, "learning_rate": 0.0004999340894419668, "loss": 0.2043, "step": 200 }, { "epoch": 0.015238371671141426, "grad_norm": 0.5, "learning_rate": 0.0004999202489607236, "loss": 0.2865, "step": 210 }, { "epoch": 0.015964008417386256, "grad_norm": 3.015625, "learning_rate": 0.0004999050906315055, "loss": 0.2039, "step": 220 }, { "epoch": 0.016689645163631087, "grad_norm": 0.99609375, "learning_rate": 0.0004998886145342434, "loss": 0.3509, "step": 230 }, { "epoch": 0.017415281909875915, "grad_norm": 1.34375, "learning_rate": 0.0004998708207558168, "loss": 0.3208, "step": 240 }, { "epoch": 0.018140918656120747, "grad_norm": 2.015625, "learning_rate": 0.0004998517093900539, "loss": 0.2307, "step": 250 }, { "epoch": 0.018866555402365575, "grad_norm": 1.0703125, "learning_rate": 0.0004998312805377302, "loss": 0.2232, "step": 260 }, { "epoch": 0.019592192148610407, "grad_norm": 1.7265625, "learning_rate": 0.0004998095343065685, "loss": 0.2587, "step": 270 }, { "epoch": 0.020317828894855235, "grad_norm": 1.21875, "learning_rate": 0.0004997864708112384, "loss": 0.2175, "step": 280 }, { "epoch": 0.021043465641100066, "grad_norm": 2.234375, "learning_rate": 0.0004997620901733554, "loss": 0.2185, "step": 290 }, { "epoch": 0.021769102387344894, "grad_norm": 1.2734375, "learning_rate": 0.0004997363925214804, "loss": 0.2409, "step": 300 }, { "epoch": 0.022494739133589726, "grad_norm": 1.7109375, "learning_rate": 0.000499709377991119, "loss": 0.1976, "step": 310 }, { "epoch": 0.023220375879834554, "grad_norm": 1.7890625, "learning_rate": 0.0004996810467247207, "loss": 0.2899, "step": 320 }, { "epoch": 0.023946012626079385, "grad_norm": 1.9296875, "learning_rate": 0.0004996513988716786, "loss": 0.2324, "step": 330 }, { "epoch": 0.024671649372324213, "grad_norm": 1.59375, "learning_rate": 0.0004996204345883278, "loss": 0.2376, "step": 340 }, { "epoch": 0.025397286118569045, "grad_norm": 1.734375, "learning_rate": 0.0004995881540379454, "loss": 0.2927, "step": 350 }, { "epoch": 0.026122922864813873, "grad_norm": 1.9375, "learning_rate": 0.0004995545573907492, "loss": 0.2738, "step": 360 }, { "epoch": 0.026848559611058705, "grad_norm": 2.421875, "learning_rate": 0.0004995196448238966, "loss": 0.2427, "step": 370 }, { "epoch": 0.027574196357303533, "grad_norm": 2.671875, "learning_rate": 0.0004994834165214843, "loss": 0.2032, "step": 380 }, { "epoch": 0.028299833103548364, "grad_norm": 3.328125, "learning_rate": 0.0004994458726745468, "loss": 0.2748, "step": 390 }, { "epoch": 0.029025469849793192, "grad_norm": 0.498046875, "learning_rate": 0.0004994070134810556, "loss": 0.2275, "step": 400 }, { "epoch": 0.029751106596038024, "grad_norm": 1.0703125, "learning_rate": 0.000499366839145918, "loss": 0.1725, "step": 410 }, { "epoch": 0.030476743342282852, "grad_norm": 3.46875, "learning_rate": 0.0004993253498809762, "loss": 0.2298, "step": 420 }, { "epoch": 0.031202380088527683, "grad_norm": 2.875, "learning_rate": 0.0004992825459050064, "loss": 0.2721, "step": 430 }, { "epoch": 0.03192801683477251, "grad_norm": 1.6640625, "learning_rate": 0.0004992384274437171, "loss": 0.248, "step": 440 }, { "epoch": 0.03265365358101734, "grad_norm": 1.8984375, "learning_rate": 0.000499192994729748, "loss": 0.1529, "step": 450 }, { "epoch": 0.033379290327262175, "grad_norm": 2.234375, "learning_rate": 0.0004991462480026693, "loss": 0.2584, "step": 460 }, { "epoch": 0.034104927073507, "grad_norm": 0.984375, "learning_rate": 0.0004990981875089799, "loss": 0.25, "step": 470 }, { "epoch": 0.03483056381975183, "grad_norm": 1.75, "learning_rate": 0.0004990488135021065, "loss": 0.199, "step": 480 }, { "epoch": 0.03555620056599666, "grad_norm": 0.7421875, "learning_rate": 0.0004989981262424017, "loss": 0.2546, "step": 490 } ], "logging_steps": 10, "max_steps": 13781, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 10, "total_flos": 0.0, "train_batch_size": 5, "trial_name": null, "trial_params": null }