{ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.0445103857566767, "eval_steps": 6, "global_step": 22, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.04747774480712166, "grad_norm": 0.10393894463777542, "learning_rate": 1e-05, "loss": 10.3853, "step": 1 }, { "epoch": 0.04747774480712166, "eval_loss": 10.38197135925293, "eval_runtime": 10.9858, "eval_samples_per_second": 3.277, "eval_steps_per_second": 1.638, "step": 1 }, { "epoch": 0.09495548961424333, "grad_norm": 0.10695062577724457, "learning_rate": 2e-05, "loss": 10.3893, "step": 2 }, { "epoch": 0.142433234421365, "grad_norm": 0.10071176290512085, "learning_rate": 3e-05, "loss": 10.3815, "step": 3 }, { "epoch": 0.18991097922848665, "grad_norm": 0.104220911860466, "learning_rate": 4e-05, "loss": 10.3825, "step": 4 }, { "epoch": 0.23738872403560832, "grad_norm": 0.11204732209444046, "learning_rate": 5e-05, "loss": 10.3846, "step": 5 }, { "epoch": 0.28486646884273, "grad_norm": 0.11993242055177689, "learning_rate": 6e-05, "loss": 10.3843, "step": 6 }, { "epoch": 0.28486646884273, "eval_loss": 10.381671905517578, "eval_runtime": 0.075, "eval_samples_per_second": 480.233, "eval_steps_per_second": 240.117, "step": 6 }, { "epoch": 0.3323442136498516, "grad_norm": 0.10505552589893341, "learning_rate": 7e-05, "loss": 10.3793, "step": 7 }, { "epoch": 0.3798219584569733, "grad_norm": 0.10710933804512024, "learning_rate": 8e-05, "loss": 10.3793, "step": 8 }, { "epoch": 0.42729970326409494, "grad_norm": 0.104378342628479, "learning_rate": 9e-05, "loss": 10.3886, "step": 9 }, { "epoch": 0.47477744807121663, "grad_norm": 0.1055062860250473, "learning_rate": 0.0001, "loss": 10.3806, "step": 10 }, { "epoch": 0.5222551928783383, "grad_norm": 0.11344417184591293, "learning_rate": 9.829629131445342e-05, "loss": 10.3823, "step": 11 }, { "epoch": 0.56973293768546, "grad_norm": 0.10140898078680038, "learning_rate": 9.330127018922194e-05, "loss": 10.3856, "step": 12 }, { "epoch": 0.56973293768546, "eval_loss": 10.380664825439453, "eval_runtime": 0.0723, "eval_samples_per_second": 497.765, "eval_steps_per_second": 248.882, "step": 12 }, { "epoch": 0.6172106824925816, "grad_norm": 0.10060179978609085, "learning_rate": 8.535533905932738e-05, "loss": 10.3803, "step": 13 }, { "epoch": 0.6646884272997032, "grad_norm": 0.11765701323747635, "learning_rate": 7.500000000000001e-05, "loss": 10.3862, "step": 14 }, { "epoch": 0.712166172106825, "grad_norm": 0.12245073914527893, "learning_rate": 6.294095225512603e-05, "loss": 10.3825, "step": 15 }, { "epoch": 0.7596439169139466, "grad_norm": 0.10479110479354858, "learning_rate": 5e-05, "loss": 10.3832, "step": 16 }, { "epoch": 0.8071216617210683, "grad_norm": 0.09735947102308273, "learning_rate": 3.705904774487396e-05, "loss": 10.3786, "step": 17 }, { "epoch": 0.8545994065281899, "grad_norm": 0.11688768118619919, "learning_rate": 2.500000000000001e-05, "loss": 10.3835, "step": 18 }, { "epoch": 0.8545994065281899, "eval_loss": 10.379833221435547, "eval_runtime": 0.0775, "eval_samples_per_second": 464.759, "eval_steps_per_second": 232.379, "step": 18 }, { "epoch": 0.9020771513353115, "grad_norm": 0.10974813997745514, "learning_rate": 1.4644660940672627e-05, "loss": 10.3813, "step": 19 }, { "epoch": 0.9495548961424333, "grad_norm": 0.11267790198326111, "learning_rate": 6.698729810778065e-06, "loss": 10.3783, "step": 20 }, { "epoch": 0.9970326409495549, "grad_norm": 0.10685980319976807, "learning_rate": 1.70370868554659e-06, "loss": 10.3776, "step": 21 }, { "epoch": 1.0445103857566767, "grad_norm": 0.26596400141716003, "learning_rate": 0.0, "loss": 20.1393, "step": 22 } ], "logging_steps": 1, "max_steps": 22, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 6, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 1765068963840.0, "train_batch_size": 2, "trial_name": null, "trial_params": null }