{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.9328575759695888, "eval_steps": 500, "global_step": 20000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "grad_norm": 1.5182671546936035, "learning_rate": 0.00046641791044776124, "loss": 7.4823, "step": 500 }, { "epoch": 0.02, "eval_loss": 5.233279228210449, "eval_runtime": 485.9279, "eval_samples_per_second": 116.13, "eval_steps_per_second": 3.63, "step": 500 }, { "epoch": 0.05, "grad_norm": 1.2752304077148438, "learning_rate": 0.0009328358208955225, "loss": 4.5296, "step": 1000 }, { "epoch": 0.05, "eval_loss": 4.0948486328125, "eval_runtime": 455.2584, "eval_samples_per_second": 123.954, "eval_steps_per_second": 3.875, "step": 1000 }, { "epoch": 0.07, "grad_norm": 1.1236172914505005, "learning_rate": 0.0009789877154220063, "loss": 3.6901, "step": 1500 }, { "epoch": 0.07, "eval_loss": 3.4836795330047607, "eval_runtime": 455.9718, "eval_samples_per_second": 123.76, "eval_steps_per_second": 3.869, "step": 1500 }, { "epoch": 0.09, "grad_norm": 1.3323962688446045, "learning_rate": 0.0009544406539991162, "loss": 3.2463, "step": 2000 }, { "epoch": 0.09, "eval_loss": 3.187832832336426, "eval_runtime": 452.455, "eval_samples_per_second": 124.722, "eval_steps_per_second": 3.899, "step": 2000 }, { "epoch": 0.12, "grad_norm": 1.1064891815185547, "learning_rate": 0.0009298935925762261, "loss": 3.0277, "step": 2500 }, { "epoch": 0.12, "eval_loss": 3.018643856048584, "eval_runtime": 455.738, "eval_samples_per_second": 123.823, "eval_steps_per_second": 3.871, "step": 2500 }, { "epoch": 0.14, "grad_norm": 1.0591437816619873, "learning_rate": 0.0009053465311533362, "loss": 2.893, "step": 3000 }, { "epoch": 0.14, "eval_loss": 2.910371780395508, "eval_runtime": 455.3219, "eval_samples_per_second": 123.936, "eval_steps_per_second": 3.874, "step": 3000 }, { "epoch": 0.16, "grad_norm": 1.1225671768188477, "learning_rate": 0.0008807994697304462, "loss": 2.8067, "step": 3500 }, { "epoch": 0.16, "eval_loss": 2.8422658443450928, "eval_runtime": 456.888, "eval_samples_per_second": 123.512, "eval_steps_per_second": 3.861, "step": 3500 }, { "epoch": 0.19, "grad_norm": 0.9899258613586426, "learning_rate": 0.0008562524083075562, "loss": 2.7388, "step": 4000 }, { "epoch": 0.19, "eval_loss": 2.7853689193725586, "eval_runtime": 467.1715, "eval_samples_per_second": 120.793, "eval_steps_per_second": 3.776, "step": 4000 }, { "epoch": 0.21, "grad_norm": 1.0482165813446045, "learning_rate": 0.0008317053468846664, "loss": 2.6884, "step": 4500 }, { "epoch": 0.21, "eval_loss": 2.744969129562378, "eval_runtime": 464.7403, "eval_samples_per_second": 121.425, "eval_steps_per_second": 3.796, "step": 4500 }, { "epoch": 0.23, "grad_norm": 0.9657552242279053, "learning_rate": 0.0008071582854617764, "loss": 2.652, "step": 5000 }, { "epoch": 0.23, "eval_loss": 2.704190969467163, "eval_runtime": 465.0407, "eval_samples_per_second": 121.346, "eval_steps_per_second": 3.793, "step": 5000 }, { "epoch": 0.26, "grad_norm": 1.0542707443237305, "learning_rate": 0.0007826112240388863, "loss": 2.6152, "step": 5500 }, { "epoch": 0.26, "eval_loss": 2.677891969680786, "eval_runtime": 462.2086, "eval_samples_per_second": 122.09, "eval_steps_per_second": 3.816, "step": 5500 }, { "epoch": 0.28, "grad_norm": 1.1020146608352661, "learning_rate": 0.0007580641626159963, "loss": 2.5896, "step": 6000 }, { "epoch": 0.28, "eval_loss": 2.6452853679656982, "eval_runtime": 464.0405, "eval_samples_per_second": 121.608, "eval_steps_per_second": 3.801, "step": 6000 }, { "epoch": 0.3, "grad_norm": 1.0760774612426758, "learning_rate": 0.0007335171011931065, "loss": 2.5639, "step": 6500 }, { "epoch": 0.3, "eval_loss": 2.6233344078063965, "eval_runtime": 456.558, "eval_samples_per_second": 123.601, "eval_steps_per_second": 3.864, "step": 6500 }, { "epoch": 0.33, "grad_norm": 1.0427649021148682, "learning_rate": 0.0007089700397702165, "loss": 2.5448, "step": 7000 }, { "epoch": 0.33, "eval_loss": 2.602931022644043, "eval_runtime": 383.1386, "eval_samples_per_second": 147.286, "eval_steps_per_second": 4.604, "step": 7000 }, { "epoch": 0.35, "grad_norm": 1.0298473834991455, "learning_rate": 0.0006844229783473265, "loss": 2.5212, "step": 7500 }, { "epoch": 0.35, "eval_loss": 2.583045244216919, "eval_runtime": 385.2194, "eval_samples_per_second": 146.491, "eval_steps_per_second": 4.579, "step": 7500 }, { "epoch": 0.37, "grad_norm": 1.0979411602020264, "learning_rate": 0.0006598759169244364, "loss": 2.5057, "step": 8000 }, { "epoch": 0.37, "eval_loss": 2.568408727645874, "eval_runtime": 382.7875, "eval_samples_per_second": 147.421, "eval_steps_per_second": 4.608, "step": 8000 }, { "epoch": 0.4, "grad_norm": 0.9886611700057983, "learning_rate": 0.0006353779496243923, "loss": 2.4951, "step": 8500 }, { "epoch": 0.4, "eval_loss": 2.550605058670044, "eval_runtime": 383.6666, "eval_samples_per_second": 147.083, "eval_steps_per_second": 4.598, "step": 8500 }, { "epoch": 0.42, "grad_norm": 1.1519851684570312, "learning_rate": 0.0006108799823243482, "loss": 2.4801, "step": 9000 }, { "epoch": 0.42, "eval_loss": 2.5366618633270264, "eval_runtime": 383.6303, "eval_samples_per_second": 147.097, "eval_steps_per_second": 4.598, "step": 9000 }, { "epoch": 0.44, "grad_norm": 1.13021719455719, "learning_rate": 0.0005863329209014581, "loss": 2.4656, "step": 9500 }, { "epoch": 0.44, "eval_loss": 2.5247080326080322, "eval_runtime": 383.3382, "eval_samples_per_second": 147.209, "eval_steps_per_second": 4.602, "step": 9500 }, { "epoch": 0.47, "grad_norm": 1.0263173580169678, "learning_rate": 0.0005617858594785683, "loss": 2.4445, "step": 10000 }, { "epoch": 0.47, "eval_loss": 2.5110859870910645, "eval_runtime": 383.0191, "eval_samples_per_second": 147.332, "eval_steps_per_second": 4.606, "step": 10000 }, { "epoch": 0.49, "grad_norm": 1.1149547100067139, "learning_rate": 0.0005372387980556782, "loss": 2.4358, "step": 10500 }, { "epoch": 0.49, "eval_loss": 2.501206398010254, "eval_runtime": 382.9886, "eval_samples_per_second": 147.344, "eval_steps_per_second": 4.606, "step": 10500 }, { "epoch": 0.51, "grad_norm": 1.2581932544708252, "learning_rate": 0.0005126917366327883, "loss": 2.4232, "step": 11000 }, { "epoch": 0.51, "eval_loss": 2.489328145980835, "eval_runtime": 383.1241, "eval_samples_per_second": 147.292, "eval_steps_per_second": 4.604, "step": 11000 }, { "epoch": 0.54, "grad_norm": 1.1889700889587402, "learning_rate": 0.0004881446752098984, "loss": 2.4174, "step": 11500 }, { "epoch": 0.54, "eval_loss": 2.4806177616119385, "eval_runtime": 383.1272, "eval_samples_per_second": 147.291, "eval_steps_per_second": 4.604, "step": 11500 }, { "epoch": 0.56, "grad_norm": 1.1834616661071777, "learning_rate": 0.0004635976137870084, "loss": 2.4025, "step": 12000 }, { "epoch": 0.56, "eval_loss": 2.468430757522583, "eval_runtime": 383.1022, "eval_samples_per_second": 147.3, "eval_steps_per_second": 4.605, "step": 12000 }, { "epoch": 0.58, "grad_norm": 1.162919282913208, "learning_rate": 0.0004390505523641184, "loss": 2.3933, "step": 12500 }, { "epoch": 0.58, "eval_loss": 2.454052686691284, "eval_runtime": 382.9498, "eval_samples_per_second": 147.359, "eval_steps_per_second": 4.606, "step": 12500 }, { "epoch": 0.61, "grad_norm": 1.1778837442398071, "learning_rate": 0.0004145525850640742, "loss": 2.3762, "step": 13000 }, { "epoch": 0.61, "eval_loss": 2.447908639907837, "eval_runtime": 382.972, "eval_samples_per_second": 147.35, "eval_steps_per_second": 4.606, "step": 13000 }, { "epoch": 0.63, "grad_norm": 1.1710721254348755, "learning_rate": 0.00039000552364118425, "loss": 2.3776, "step": 13500 }, { "epoch": 0.63, "eval_loss": 2.434429883956909, "eval_runtime": 383.0888, "eval_samples_per_second": 147.305, "eval_steps_per_second": 4.605, "step": 13500 }, { "epoch": 0.65, "grad_norm": 1.201686143875122, "learning_rate": 0.00036545846221829433, "loss": 2.3547, "step": 14000 }, { "epoch": 0.65, "eval_loss": 2.4281551837921143, "eval_runtime": 382.9249, "eval_samples_per_second": 147.368, "eval_steps_per_second": 4.607, "step": 14000 }, { "epoch": 0.68, "grad_norm": 1.2691400051116943, "learning_rate": 0.00034091140079540435, "loss": 2.3442, "step": 14500 }, { "epoch": 0.68, "eval_loss": 2.420260429382324, "eval_runtime": 382.7963, "eval_samples_per_second": 147.418, "eval_steps_per_second": 4.608, "step": 14500 }, { "epoch": 0.7, "grad_norm": 1.1737455129623413, "learning_rate": 0.0003164134334953601, "loss": 2.3457, "step": 15000 }, { "epoch": 0.7, "eval_loss": 2.4077823162078857, "eval_runtime": 382.9004, "eval_samples_per_second": 147.378, "eval_steps_per_second": 4.607, "step": 15000 }, { "epoch": 0.72, "grad_norm": 1.2281179428100586, "learning_rate": 0.00029186637207247017, "loss": 2.3349, "step": 15500 }, { "epoch": 0.72, "eval_loss": 2.402637243270874, "eval_runtime": 382.7179, "eval_samples_per_second": 147.448, "eval_steps_per_second": 4.609, "step": 15500 }, { "epoch": 0.75, "grad_norm": 1.2782984972000122, "learning_rate": 0.0002673193106495802, "loss": 2.3277, "step": 16000 }, { "epoch": 0.75, "eval_loss": 2.3890154361724854, "eval_runtime": 382.9227, "eval_samples_per_second": 147.369, "eval_steps_per_second": 4.607, "step": 16000 }, { "epoch": 0.77, "grad_norm": 1.2969355583190918, "learning_rate": 0.00024277224922669027, "loss": 2.316, "step": 16500 }, { "epoch": 0.77, "eval_loss": 2.3841326236724854, "eval_runtime": 382.942, "eval_samples_per_second": 147.362, "eval_steps_per_second": 4.606, "step": 16500 }, { "epoch": 0.79, "grad_norm": 1.244382381439209, "learning_rate": 0.000218274281926646, "loss": 2.306, "step": 17000 }, { "epoch": 0.79, "eval_loss": 2.374117851257324, "eval_runtime": 382.7874, "eval_samples_per_second": 147.421, "eval_steps_per_second": 4.608, "step": 17000 }, { "epoch": 0.82, "grad_norm": 1.1741069555282593, "learning_rate": 0.00019372722050375605, "loss": 2.3011, "step": 17500 }, { "epoch": 0.82, "eval_loss": 2.365194320678711, "eval_runtime": 382.8368, "eval_samples_per_second": 147.402, "eval_steps_per_second": 4.608, "step": 17500 }, { "epoch": 0.84, "grad_norm": 1.2608463764190674, "learning_rate": 0.0001691801590808661, "loss": 2.2839, "step": 18000 }, { "epoch": 0.84, "eval_loss": 2.3552064895629883, "eval_runtime": 382.676, "eval_samples_per_second": 147.464, "eval_steps_per_second": 4.61, "step": 18000 }, { "epoch": 0.86, "grad_norm": 1.2342902421951294, "learning_rate": 0.00014463309765797616, "loss": 2.2846, "step": 18500 }, { "epoch": 0.86, "eval_loss": 2.346794843673706, "eval_runtime": 382.6366, "eval_samples_per_second": 147.479, "eval_steps_per_second": 4.61, "step": 18500 }, { "epoch": 0.89, "grad_norm": 1.2380675077438354, "learning_rate": 0.00012008603623508621, "loss": 2.2767, "step": 19000 }, { "epoch": 0.89, "eval_loss": 2.3396549224853516, "eval_runtime": 382.7214, "eval_samples_per_second": 147.447, "eval_steps_per_second": 4.609, "step": 19000 }, { "epoch": 0.91, "grad_norm": 1.2454231977462769, "learning_rate": 9.553897481219615e-05, "loss": 2.2672, "step": 19500 }, { "epoch": 0.91, "eval_loss": 2.333063840866089, "eval_runtime": 382.7079, "eval_samples_per_second": 147.452, "eval_steps_per_second": 4.609, "step": 19500 }, { "epoch": 0.93, "grad_norm": 1.155750036239624, "learning_rate": 7.09919133893062e-05, "loss": 2.2536, "step": 20000 }, { "epoch": 0.93, "eval_loss": 2.3241796493530273, "eval_runtime": 383.212, "eval_samples_per_second": 147.258, "eval_steps_per_second": 4.603, "step": 20000 } ], "logging_steps": 500, "max_steps": 21439, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 10000, "total_flos": 2336536657920000.0, "train_batch_size": 32, "trial_name": null, "trial_params": null }