{ "best_metric": 0.9444444179534912, "best_model_checkpoint": "/kaggle/working/ckpts/checkpoint-1784", "epoch": 11.0, "eval_steps": 500, "global_step": 2453, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.45, "grad_norm": 3.8796565532684326, "learning_rate": 9.701046337817639e-06, "loss": 1.0979, "step": 100 }, { "epoch": 0.9, "grad_norm": 2.6467082500457764, "learning_rate": 9.4050822122571e-06, "loss": 0.7722, "step": 200 }, { "epoch": 1.0, "eval_accuracy": 0.8434343338012695, "eval_loss": 0.4733273386955261, "eval_runtime": 9.4201, "eval_samples_per_second": 21.019, "eval_steps_per_second": 5.308, "step": 223 }, { "epoch": 1.35, "grad_norm": 20.371318817138672, "learning_rate": 9.106128550074738e-06, "loss": 0.5871, "step": 300 }, { "epoch": 1.79, "grad_norm": 3.244633674621582, "learning_rate": 8.807174887892378e-06, "loss": 0.4755, "step": 400 }, { "epoch": 2.0, "eval_accuracy": 0.868686854839325, "eval_loss": 0.42396825551986694, "eval_runtime": 9.3161, "eval_samples_per_second": 21.254, "eval_steps_per_second": 5.367, "step": 446 }, { "epoch": 2.24, "grad_norm": 8.883748054504395, "learning_rate": 8.51121076233184e-06, "loss": 0.377, "step": 500 }, { "epoch": 2.69, "grad_norm": 1.6546649932861328, "learning_rate": 8.2152466367713e-06, "loss": 0.3262, "step": 600 }, { "epoch": 3.0, "eval_accuracy": 0.9343434572219849, "eval_loss": 0.2939111590385437, "eval_runtime": 9.4493, "eval_samples_per_second": 20.954, "eval_steps_per_second": 5.291, "step": 669 }, { "epoch": 3.14, "grad_norm": 7.946984767913818, "learning_rate": 7.916292974588939e-06, "loss": 0.2347, "step": 700 }, { "epoch": 3.59, "grad_norm": 9.960402488708496, "learning_rate": 7.617339312406578e-06, "loss": 0.2642, "step": 800 }, { "epoch": 4.0, "eval_accuracy": 0.9292929172515869, "eval_loss": 0.3087417781352997, "eval_runtime": 9.224, "eval_samples_per_second": 21.466, "eval_steps_per_second": 5.421, "step": 892 }, { "epoch": 4.04, "grad_norm": 87.66458129882812, "learning_rate": 7.318385650224216e-06, "loss": 0.2608, "step": 900 }, { "epoch": 4.48, "grad_norm": 42.06097412109375, "learning_rate": 7.019431988041854e-06, "loss": 0.213, "step": 1000 }, { "epoch": 4.93, "grad_norm": 21.227588653564453, "learning_rate": 6.723467862481315e-06, "loss": 0.191, "step": 1100 }, { "epoch": 5.0, "eval_accuracy": 0.939393937587738, "eval_loss": 0.30786794424057007, "eval_runtime": 9.2259, "eval_samples_per_second": 21.461, "eval_steps_per_second": 5.42, "step": 1115 }, { "epoch": 5.38, "grad_norm": 0.09492979198694229, "learning_rate": 6.424514200298954e-06, "loss": 0.1891, "step": 1200 }, { "epoch": 5.83, "grad_norm": 22.492895126342773, "learning_rate": 6.1255605381165925e-06, "loss": 0.1534, "step": 1300 }, { "epoch": 6.0, "eval_accuracy": 0.939393937587738, "eval_loss": 0.3133719265460968, "eval_runtime": 9.3193, "eval_samples_per_second": 21.246, "eval_steps_per_second": 5.365, "step": 1338 }, { "epoch": 6.28, "grad_norm": 0.05382364243268967, "learning_rate": 5.826606875934231e-06, "loss": 0.1825, "step": 1400 }, { "epoch": 6.73, "grad_norm": 5.18447732925415, "learning_rate": 5.527653213751869e-06, "loss": 0.1571, "step": 1500 }, { "epoch": 7.0, "eval_accuracy": 0.9292929172515869, "eval_loss": 0.40089717507362366, "eval_runtime": 9.2909, "eval_samples_per_second": 21.311, "eval_steps_per_second": 5.382, "step": 1561 }, { "epoch": 7.17, "grad_norm": 0.036003902554512024, "learning_rate": 5.228699551569507e-06, "loss": 0.1518, "step": 1600 }, { "epoch": 7.62, "grad_norm": 0.10409737378358841, "learning_rate": 4.929745889387145e-06, "loss": 0.1328, "step": 1700 }, { "epoch": 8.0, "eval_accuracy": 0.9444444179534912, "eval_loss": 0.3189202845096588, "eval_runtime": 9.3287, "eval_samples_per_second": 21.225, "eval_steps_per_second": 5.36, "step": 1784 }, { "epoch": 8.07, "grad_norm": 6.580456733703613, "learning_rate": 4.630792227204783e-06, "loss": 0.1127, "step": 1800 }, { "epoch": 8.52, "grad_norm": 0.12464825063943863, "learning_rate": 4.3318385650224224e-06, "loss": 0.1333, "step": 1900 }, { "epoch": 8.97, "grad_norm": 127.78559112548828, "learning_rate": 4.03288490284006e-06, "loss": 0.1567, "step": 2000 }, { "epoch": 9.0, "eval_accuracy": 0.9191918969154358, "eval_loss": 0.40891000628471375, "eval_runtime": 9.2849, "eval_samples_per_second": 21.325, "eval_steps_per_second": 5.385, "step": 2007 }, { "epoch": 9.42, "grad_norm": 0.03460687771439552, "learning_rate": 3.7339312406576984e-06, "loss": 0.1313, "step": 2100 }, { "epoch": 9.87, "grad_norm": 3.1638216972351074, "learning_rate": 3.4349775784753366e-06, "loss": 0.1043, "step": 2200 }, { "epoch": 10.0, "eval_accuracy": 0.9343434572219849, "eval_loss": 0.34286314249038696, "eval_runtime": 9.3365, "eval_samples_per_second": 21.207, "eval_steps_per_second": 5.355, "step": 2230 }, { "epoch": 10.31, "grad_norm": 0.462053507566452, "learning_rate": 3.136023916292975e-06, "loss": 0.1551, "step": 2300 }, { "epoch": 10.76, "grad_norm": 0.5621947050094604, "learning_rate": 2.8370702541106134e-06, "loss": 0.1161, "step": 2400 }, { "epoch": 11.0, "eval_accuracy": 0.939393937587738, "eval_loss": 0.3534471094608307, "eval_runtime": 9.2307, "eval_samples_per_second": 21.45, "eval_steps_per_second": 5.417, "step": 2453 }, { "epoch": 11.0, "step": 2453, "total_flos": 6.273609670944864e+17, "train_loss": 0.2735439113728912, "train_runtime": 1317.5896, "train_samples_per_second": 20.276, "train_steps_per_second": 2.539 }, { "epoch": 11.0, "eval_accuracy": 0.9444444179534912, "eval_loss": 0.3189202845096588, "eval_runtime": 9.0656, "eval_samples_per_second": 21.841, "eval_steps_per_second": 5.515, "step": 2453 } ], "logging_steps": 100, "max_steps": 3345, "num_input_tokens_seen": 0, "num_train_epochs": 15, "save_steps": 500, "total_flos": 6.273609670944864e+17, "train_batch_size": 4, "trial_name": null, "trial_params": null }