{ "best_metric": null, "best_model_checkpoint": null, "epoch": 24.217264791464597, "global_step": 3100, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.78, "learning_rate": 1.0000000000000002e-06, "loss": 10.1419, "step": 100 }, { "epoch": 1.56, "learning_rate": 2.0000000000000003e-06, "loss": 9.2788, "step": 200 }, { "epoch": 2.34, "learning_rate": 3e-06, "loss": 8.8011, "step": 300 }, { "epoch": 3.12, "learning_rate": 4.000000000000001e-06, "loss": 8.3846, "step": 400 }, { "epoch": 3.9, "learning_rate": 5e-06, "loss": 7.8214, "step": 500 }, { "epoch": 4.68, "learning_rate": 6e-06, "loss": 7.3094, "step": 600 }, { "epoch": 5.47, "learning_rate": 7.000000000000001e-06, "loss": 6.7911, "step": 700 }, { "epoch": 6.25, "learning_rate": 8.000000000000001e-06, "loss": 6.4144, "step": 800 }, { "epoch": 7.03, "learning_rate": 9e-06, "loss": 6.2168, "step": 900 }, { "epoch": 7.81, "learning_rate": 1e-05, "loss": 6.0642, "step": 1000 }, { "epoch": 8.59, "learning_rate": 1.1000000000000001e-05, "loss": 6.0511, "step": 1100 }, { "epoch": 9.37, "learning_rate": 1.2e-05, "loss": 5.995, "step": 1200 }, { "epoch": 10.16, "learning_rate": 1.3000000000000001e-05, "loss": 5.9539, "step": 1300 }, { "epoch": 10.93, "learning_rate": 1.4000000000000001e-05, "loss": 5.8675, "step": 1400 }, { "epoch": 11.71, "learning_rate": 1.5e-05, "loss": 5.8874, "step": 1500 }, { "epoch": 12.5, "learning_rate": 1.6000000000000003e-05, "loss": 5.8578, "step": 1600 }, { "epoch": 13.28, "learning_rate": 1.7000000000000003e-05, "loss": 5.8386, "step": 1700 }, { "epoch": 14.06, "learning_rate": 1.8e-05, "loss": 5.8138, "step": 1800 }, { "epoch": 14.84, "learning_rate": 1.9e-05, "loss": 5.7399, "step": 1900 }, { "epoch": 15.62, "learning_rate": 2e-05, "loss": 5.7753, "step": 2000 }, { "epoch": 16.4, "learning_rate": 2.1e-05, "loss": 5.7564, "step": 2100 }, { "epoch": 17.19, "learning_rate": 2.2000000000000003e-05, "loss": 5.738, "step": 2200 }, { "epoch": 17.96, "learning_rate": 2.3000000000000003e-05, "loss": 5.6753, "step": 2300 }, { "epoch": 18.74, "learning_rate": 2.4e-05, "loss": 5.7082, "step": 2400 }, { "epoch": 19.53, "learning_rate": 2.5e-05, "loss": 5.6991, "step": 2500 }, { "epoch": 20.31, "learning_rate": 2.6000000000000002e-05, "loss": 5.6801, "step": 2600 }, { "epoch": 21.09, "learning_rate": 2.7000000000000002e-05, "loss": 5.6692, "step": 2700 }, { "epoch": 21.87, "learning_rate": 2.8000000000000003e-05, "loss": 5.6063, "step": 2800 }, { "epoch": 22.65, "learning_rate": 2.9e-05, "loss": 5.6445, "step": 2900 }, { "epoch": 23.43, "learning_rate": 3e-05, "loss": 5.6328, "step": 3000 }, { "epoch": 24.22, "learning_rate": 3.1e-05, "loss": 5.6217, "step": 3100 } ], "max_steps": 20480, "num_train_epochs": 160, "total_flos": 2.101463476076544e+17, "trial_name": null, "trial_params": null }