{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.9893390191897654, "eval_steps": 100, "global_step": 58, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "clip_ratio": 0.0, "completion_length": 608.1997985839844, "epoch": 0.017057569296375266, "grad_norm": 0.4826625768130922, "kl": 0.0, "learning_rate": 5e-07, "loss": 0.0276, "reward": 0.6250000298023224, "reward_std": 0.3469353225082159, "rewards/accuracy_reward": 0.6250000298023224, "rewards/format_reward": 0.0, "step": 1 }, { "clip_ratio": 0.0, "completion_length": 606.1880884170532, "epoch": 0.08528784648187633, "grad_norm": 0.7824728423768934, "kl": 0.00032770633697509766, "learning_rate": 2.5e-06, "loss": 0.0222, "reward": 0.6166294906288385, "reward_std": 0.35452946182340384, "rewards/accuracy_reward": 0.6166294906288385, "rewards/format_reward": 0.0, "step": 5 }, { "clip_ratio": 0.0, "completion_length": 614.6335121154785, "epoch": 0.17057569296375266, "grad_norm": 4602.5686953405275, "kl": 0.2378152847290039, "learning_rate": 2.956412726139078e-06, "loss": 0.0859, "reward": 0.6770089596509934, "reward_std": 0.31036885008215903, "rewards/accuracy_reward": 0.6770089596509934, "rewards/format_reward": 0.0, "step": 10 }, { "clip_ratio": 0.0, "completion_length": 603.3538200378418, "epoch": 0.255863539445629, "grad_norm": 0.30519508536223, "kl": 0.055579757690429686, "learning_rate": 2.7836719084521715e-06, "loss": 0.0695, "reward": 0.7611607506871223, "reward_std": 0.22096406035125254, "rewards/accuracy_reward": 0.7611607506871223, "rewards/format_reward": 0.0, "step": 15 }, { "clip_ratio": 0.0, "completion_length": 587.3939994812011, "epoch": 0.3411513859275053, "grad_norm": 0.15882451560463448, "kl": 0.0035945892333984373, "learning_rate": 2.4946839873611927e-06, "loss": 0.0507, "reward": 0.7741071805357933, "reward_std": 0.2031545776873827, "rewards/accuracy_reward": 0.7741071805357933, "rewards/format_reward": 0.0, "step": 20 }, { "clip_ratio": 0.0, "completion_length": 593.604940032959, "epoch": 0.42643923240938164, "grad_norm": 0.16805967209081119, "kl": 0.004913711547851562, "learning_rate": 2.1156192081791355e-06, "loss": 0.0412, "reward": 0.7656250342726707, "reward_std": 0.1831065765582025, "rewards/accuracy_reward": 0.7656250342726707, "rewards/format_reward": 0.0, "step": 25 }, { "clip_ratio": 0.0, "completion_length": 598.2044891357422, "epoch": 0.511727078891258, "grad_norm": 0.14888598857678317, "kl": 0.00452728271484375, "learning_rate": 1.6808050203829845e-06, "loss": 0.0398, "reward": 0.7508928909897804, "reward_std": 0.17886008992791175, "rewards/accuracy_reward": 0.7508928909897804, "rewards/format_reward": 0.0, "step": 30 }, { "clip_ratio": 0.0, "completion_length": 588.5198966979981, "epoch": 0.5970149253731343, "grad_norm": 0.1519392828021144, "kl": 0.005135726928710937, "learning_rate": 1.2296174432791415e-06, "loss": 0.0301, "reward": 0.7504464626312256, "reward_std": 0.16700280252844096, "rewards/accuracy_reward": 0.7504464626312256, "rewards/format_reward": 0.0, "step": 35 }, { "clip_ratio": 0.0, "completion_length": 575.4761436462402, "epoch": 0.6823027718550106, "grad_norm": 0.10504938622311973, "kl": 0.004594039916992187, "learning_rate": 8.029152419343472e-07, "loss": 0.0386, "reward": 0.7741071790456772, "reward_std": 0.1698190384544432, "rewards/accuracy_reward": 0.7741071790456772, "rewards/format_reward": 0.0, "step": 40 }, { "clip_ratio": 0.0, "completion_length": 591.2636466979981, "epoch": 0.767590618336887, "grad_norm": 0.10062535580724605, "kl": 0.00447540283203125, "learning_rate": 4.3933982822017883e-07, "loss": 0.0291, "reward": 0.7636161088943482, "reward_std": 0.17512967977672816, "rewards/accuracy_reward": 0.7636161088943482, "rewards/format_reward": 0.0, "step": 45 }, { "clip_ratio": 0.0, "completion_length": 594.1404296875, "epoch": 0.8528784648187633, "grad_norm": 0.13619152463583725, "kl": 0.004338836669921875, "learning_rate": 1.718159615201853e-07, "loss": 0.0318, "reward": 0.7573661044239998, "reward_std": 0.1743252847343683, "rewards/accuracy_reward": 0.7573661044239998, "rewards/format_reward": 0.0, "step": 50 }, { "clip_ratio": 0.0, "completion_length": 588.1810516357422, "epoch": 0.9381663113006397, "grad_norm": 0.15370397597420127, "kl": 0.00505828857421875, "learning_rate": 2.4570139579284723e-08, "loss": 0.0362, "reward": 0.7852678924798966, "reward_std": 0.17964433841407298, "rewards/accuracy_reward": 0.7852678924798966, "rewards/format_reward": 0.0, "step": 55 }, { "clip_ratio": 0.0, "completion_length": 574.9235763549805, "epoch": 0.9893390191897654, "kl": 0.006348927815755208, "reward": 0.7786458656191826, "reward_std": 0.15960007222990194, "rewards/accuracy_reward": 0.7786458656191826, "rewards/format_reward": 0.0, "step": 58, "total_flos": 0.0, "train_loss": 0.04329907550508606, "train_runtime": 7330.3865, "train_samples_per_second": 1.023, "train_steps_per_second": 0.008 } ], "logging_steps": 5, "max_steps": 58, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": false, "should_training_stop": false }, "attributes": {} } }, "total_flos": 0.0, "train_batch_size": 16, "trial_name": null, "trial_params": null }