{ "best_metric": 1.0940738916397095, "best_model_checkpoint": "/kaggle/output/checkpoint-12000", "epoch": 0.48891786179921776, "eval_steps": 1000, "global_step": 12000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 2.7777777777777777e-11, "loss": 1.1078, "step": 1 }, { "epoch": 0.04, "learning_rate": 2.7750000000000004e-08, "loss": 1.128, "step": 1000 }, { "epoch": 0.04, "eval_accuracy": 0.330938123752495, "eval_loss": 1.1083118915557861, "eval_runtime": 12.3979, "eval_samples_per_second": 404.1, "eval_steps_per_second": 50.573, "step": 1000 }, { "epoch": 0.08, "learning_rate": 5.5527777777777784e-08, "loss": 1.1164, "step": 2000 }, { "epoch": 0.08, "eval_accuracy": 0.3323353293413174, "eval_loss": 1.102672815322876, "eval_runtime": 12.2861, "eval_samples_per_second": 407.778, "eval_steps_per_second": 51.033, "step": 2000 }, { "epoch": 0.12, "learning_rate": 8.327777777777778e-08, "loss": 1.1158, "step": 3000 }, { "epoch": 0.12, "eval_accuracy": 0.34211576846307384, "eval_loss": 1.1024774312973022, "eval_runtime": 12.3746, "eval_samples_per_second": 404.863, "eval_steps_per_second": 50.668, "step": 3000 }, { "epoch": 0.16, "learning_rate": 1.1105555555555557e-07, "loss": 1.1115, "step": 4000 }, { "epoch": 0.16, "eval_accuracy": 0.34890219560878244, "eval_loss": 1.1012382507324219, "eval_runtime": 12.5405, "eval_samples_per_second": 399.505, "eval_steps_per_second": 49.998, "step": 4000 }, { "epoch": 0.2, "learning_rate": 1.3880555555555558e-07, "loss": 1.1141, "step": 5000 }, { "epoch": 0.2, "eval_accuracy": 0.3534930139720559, "eval_loss": 1.1002192497253418, "eval_runtime": 12.3001, "eval_samples_per_second": 407.314, "eval_steps_per_second": 50.975, "step": 5000 }, { "epoch": 0.24, "learning_rate": 1.6658333333333335e-07, "loss": 1.112, "step": 6000 }, { "epoch": 0.24, "eval_accuracy": 0.3524950099800399, "eval_loss": 1.100056767463684, "eval_runtime": 12.4062, "eval_samples_per_second": 403.831, "eval_steps_per_second": 50.539, "step": 6000 }, { "epoch": 0.29, "learning_rate": 1.9433333333333334e-07, "loss": 1.1115, "step": 7000 }, { "epoch": 0.29, "eval_accuracy": 0.34331337325349304, "eval_loss": 1.098986029624939, "eval_runtime": 12.4456, "eval_samples_per_second": 402.551, "eval_steps_per_second": 50.379, "step": 7000 }, { "epoch": 0.33, "learning_rate": 2.2211111111111114e-07, "loss": 1.109, "step": 8000 }, { "epoch": 0.33, "eval_accuracy": 0.3347305389221557, "eval_loss": 1.098678469657898, "eval_runtime": 12.5978, "eval_samples_per_second": 397.688, "eval_steps_per_second": 49.771, "step": 8000 }, { "epoch": 0.37, "learning_rate": 2.4986111111111113e-07, "loss": 1.1117, "step": 9000 }, { "epoch": 0.37, "eval_accuracy": 0.34311377245508984, "eval_loss": 1.0984419584274292, "eval_runtime": 12.313, "eval_samples_per_second": 406.886, "eval_steps_per_second": 50.922, "step": 9000 }, { "epoch": 0.41, "learning_rate": 2.776388888888889e-07, "loss": 1.1081, "step": 10000 }, { "epoch": 0.41, "eval_accuracy": 0.35429141716566864, "eval_loss": 1.0968743562698364, "eval_runtime": 12.4088, "eval_samples_per_second": 403.744, "eval_steps_per_second": 50.528, "step": 10000 }, { "epoch": 0.45, "learning_rate": 3.053888888888889e-07, "loss": 1.107, "step": 11000 }, { "epoch": 0.45, "eval_accuracy": 0.3722554890219561, "eval_loss": 1.0950665473937988, "eval_runtime": 12.5775, "eval_samples_per_second": 398.33, "eval_steps_per_second": 49.851, "step": 11000 }, { "epoch": 0.49, "learning_rate": 3.331666666666667e-07, "loss": 1.1057, "step": 12000 }, { "epoch": 0.49, "eval_accuracy": 0.37544910179640717, "eval_loss": 1.0940738916397095, "eval_runtime": 12.5186, "eval_samples_per_second": 400.203, "eval_steps_per_second": 50.085, "step": 12000 } ], "logging_steps": 1000, "max_steps": 10000000, "num_train_epochs": 408, "save_steps": 1000, "total_flos": 4181276491776000.0, "trial_name": null, "trial_params": null }