{ "best_metric": null, "best_model_checkpoint": null, "epoch": 4.787234042553192, "eval_steps": 300, "global_step": 900, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.05, "learning_rate": 5e-07, "loss": 1.0874, "step": 10 }, { "epoch": 0.11, "learning_rate": 1e-06, "loss": 0.9487, "step": 20 }, { "epoch": 0.16, "learning_rate": 1.5e-06, "loss": 0.7586, "step": 30 }, { "epoch": 0.21, "learning_rate": 2e-06, "loss": 0.7225, "step": 40 }, { "epoch": 0.27, "learning_rate": 2.5e-06, "loss": 0.7364, "step": 50 }, { "epoch": 0.32, "learning_rate": 3e-06, "loss": 0.7265, "step": 60 }, { "epoch": 0.37, "learning_rate": 3.5e-06, "loss": 0.7267, "step": 70 }, { "epoch": 0.43, "learning_rate": 4e-06, "loss": 0.5697, "step": 80 }, { "epoch": 0.48, "learning_rate": 4.5e-06, "loss": 1.018, "step": 90 }, { "epoch": 0.53, "learning_rate": 5e-06, "loss": 0.7875, "step": 100 }, { "epoch": 0.59, "learning_rate": 5.5e-06, "loss": 0.8242, "step": 110 }, { "epoch": 0.64, "learning_rate": 6e-06, "loss": 0.8034, "step": 120 }, { "epoch": 0.69, "learning_rate": 6.5e-06, "loss": 0.7717, "step": 130 }, { "epoch": 0.74, "learning_rate": 7e-06, "loss": 0.8337, "step": 140 }, { "epoch": 0.8, "learning_rate": 7.5e-06, "loss": 0.6884, "step": 150 }, { "epoch": 0.85, "learning_rate": 8e-06, "loss": 0.9129, "step": 160 }, { "epoch": 0.9, "learning_rate": 8.500000000000002e-06, "loss": 0.5637, "step": 170 }, { "epoch": 0.96, "learning_rate": 9e-06, "loss": 1.0458, "step": 180 }, { "epoch": 1.01, "learning_rate": 9.5e-06, "loss": 0.9414, "step": 190 }, { "epoch": 1.06, "learning_rate": 1e-05, "loss": 0.6379, "step": 200 }, { "epoch": 1.12, "learning_rate": 1.0500000000000001e-05, "loss": 0.9249, "step": 210 }, { "epoch": 1.17, "learning_rate": 1.1e-05, "loss": 0.6944, "step": 220 }, { "epoch": 1.22, "learning_rate": 1.15e-05, "loss": 0.9221, "step": 230 }, { "epoch": 1.28, "learning_rate": 1.2e-05, "loss": 0.6475, "step": 240 }, { "epoch": 1.33, "learning_rate": 1.25e-05, "loss": 0.7748, "step": 250 }, { "epoch": 1.38, "learning_rate": 1.3e-05, "loss": 0.8705, "step": 260 }, { "epoch": 1.44, "learning_rate": 1.35e-05, "loss": 0.7737, "step": 270 }, { "epoch": 1.49, "learning_rate": 1.4e-05, "loss": 0.8643, "step": 280 }, { "epoch": 1.54, "learning_rate": 1.4500000000000002e-05, "loss": 0.8428, "step": 290 }, { "epoch": 1.6, "learning_rate": 1.5e-05, "loss": 0.6785, "step": 300 }, { "epoch": 1.6, "eval_accuracy": 0.7386666666666667, "eval_combined_score": 0.6626504648943422, "eval_f1": 0.6276400817995911, "eval_loss": 0.7930460572242737, "eval_precision": 0.5456284444444445, "eval_recall": 0.7386666666666667, "eval_runtime": 6.0663, "eval_samples_per_second": 247.266, "eval_steps_per_second": 7.748, "step": 300 }, { "epoch": 1.65, "learning_rate": 1.55e-05, "loss": 0.6076, "step": 310 }, { "epoch": 1.7, "learning_rate": 1.6e-05, "loss": 0.5963, "step": 320 }, { "epoch": 1.76, "learning_rate": 1.65e-05, "loss": 0.6626, "step": 330 }, { "epoch": 1.81, "learning_rate": 1.7000000000000003e-05, "loss": 0.8379, "step": 340 }, { "epoch": 1.86, "learning_rate": 1.7500000000000002e-05, "loss": 0.8851, "step": 350 }, { "epoch": 1.91, "learning_rate": 1.8e-05, "loss": 0.7489, "step": 360 }, { "epoch": 1.97, "learning_rate": 1.85e-05, "loss": 0.7573, "step": 370 }, { "epoch": 2.02, "learning_rate": 1.9e-05, "loss": 0.8018, "step": 380 }, { "epoch": 2.07, "learning_rate": 1.95e-05, "loss": 0.6645, "step": 390 }, { "epoch": 2.13, "learning_rate": 2e-05, "loss": 0.8677, "step": 400 }, { "epoch": 2.18, "learning_rate": 2.05e-05, "loss": 0.7478, "step": 410 }, { "epoch": 2.23, "learning_rate": 2.1000000000000002e-05, "loss": 0.8551, "step": 420 }, { "epoch": 2.29, "learning_rate": 2.1499999999999997e-05, "loss": 0.9323, "step": 430 }, { "epoch": 2.34, "learning_rate": 2.2e-05, "loss": 0.7536, "step": 440 }, { "epoch": 2.39, "learning_rate": 2.2499999999999998e-05, "loss": 0.5336, "step": 450 }, { "epoch": 2.45, "learning_rate": 2.3e-05, "loss": 0.8955, "step": 460 }, { "epoch": 2.5, "learning_rate": 2.3500000000000002e-05, "loss": 0.7926, "step": 470 }, { "epoch": 2.55, "learning_rate": 2.4e-05, "loss": 0.5713, "step": 480 }, { "epoch": 2.61, "learning_rate": 2.4500000000000003e-05, "loss": 0.8568, "step": 490 }, { "epoch": 2.66, "learning_rate": 2.5e-05, "loss": 0.6348, "step": 500 }, { "epoch": 2.71, "learning_rate": 2.55e-05, "loss": 0.6223, "step": 510 }, { "epoch": 2.77, "learning_rate": 2.6e-05, "loss": 0.7579, "step": 520 }, { "epoch": 2.82, "learning_rate": 2.65e-05, "loss": 0.6325, "step": 530 }, { "epoch": 2.87, "learning_rate": 2.7e-05, "loss": 0.7276, "step": 540 }, { "epoch": 2.93, "learning_rate": 2.75e-05, "loss": 0.8766, "step": 550 }, { "epoch": 2.98, "learning_rate": 2.8e-05, "loss": 0.7107, "step": 560 }, { "epoch": 3.03, "learning_rate": 2.85e-05, "loss": 0.5904, "step": 570 }, { "epoch": 3.09, "learning_rate": 2.9000000000000004e-05, "loss": 0.7125, "step": 580 }, { "epoch": 3.14, "learning_rate": 2.95e-05, "loss": 0.755, "step": 590 }, { "epoch": 3.19, "learning_rate": 3e-05, "loss": 0.5583, "step": 600 }, { "epoch": 3.19, "eval_accuracy": 0.7613333333333333, "eval_combined_score": 0.7403762607674487, "eval_f1": 0.7316181693637903, "eval_loss": 0.6910097599029541, "eval_precision": 0.7072202070393374, "eval_recall": 0.7613333333333333, "eval_runtime": 6.0882, "eval_samples_per_second": 246.376, "eval_steps_per_second": 7.72, "step": 600 }, { "epoch": 3.24, "learning_rate": 3.05e-05, "loss": 0.6527, "step": 610 }, { "epoch": 3.3, "learning_rate": 3.1e-05, "loss": 0.7676, "step": 620 }, { "epoch": 3.35, "learning_rate": 3.15e-05, "loss": 0.766, "step": 630 }, { "epoch": 3.4, "learning_rate": 3.2e-05, "loss": 0.6217, "step": 640 }, { "epoch": 3.46, "learning_rate": 3.2500000000000004e-05, "loss": 0.5405, "step": 650 }, { "epoch": 3.51, "learning_rate": 3.3e-05, "loss": 0.7951, "step": 660 }, { "epoch": 3.56, "learning_rate": 3.35e-05, "loss": 0.552, "step": 670 }, { "epoch": 3.62, "learning_rate": 3.4000000000000007e-05, "loss": 0.6521, "step": 680 }, { "epoch": 3.67, "learning_rate": 3.4500000000000005e-05, "loss": 0.6814, "step": 690 }, { "epoch": 3.72, "learning_rate": 3.5000000000000004e-05, "loss": 0.3992, "step": 700 }, { "epoch": 3.78, "learning_rate": 3.5499999999999996e-05, "loss": 0.7018, "step": 710 }, { "epoch": 3.83, "learning_rate": 3.6e-05, "loss": 0.664, "step": 720 }, { "epoch": 3.88, "learning_rate": 3.65e-05, "loss": 0.6891, "step": 730 }, { "epoch": 3.94, "learning_rate": 3.7e-05, "loss": 0.6063, "step": 740 }, { "epoch": 3.99, "learning_rate": 3.75e-05, "loss": 0.6543, "step": 750 }, { "epoch": 4.04, "learning_rate": 3.8e-05, "loss": 0.5638, "step": 760 }, { "epoch": 4.1, "learning_rate": 3.85e-05, "loss": 0.6984, "step": 770 }, { "epoch": 4.15, "learning_rate": 3.9e-05, "loss": 0.7148, "step": 780 }, { "epoch": 4.2, "learning_rate": 3.95e-05, "loss": 0.4915, "step": 790 }, { "epoch": 4.26, "learning_rate": 4e-05, "loss": 0.648, "step": 800 }, { "epoch": 4.31, "learning_rate": 4.05e-05, "loss": 0.4527, "step": 810 }, { "epoch": 4.36, "learning_rate": 4.1e-05, "loss": 0.551, "step": 820 }, { "epoch": 4.41, "learning_rate": 4.1500000000000006e-05, "loss": 0.5909, "step": 830 }, { "epoch": 4.47, "learning_rate": 4.2000000000000004e-05, "loss": 0.603, "step": 840 }, { "epoch": 4.52, "learning_rate": 4.25e-05, "loss": 1.0745, "step": 850 }, { "epoch": 4.57, "learning_rate": 4.2999999999999995e-05, "loss": 0.6697, "step": 860 }, { "epoch": 4.63, "learning_rate": 4.35e-05, "loss": 0.8374, "step": 870 }, { "epoch": 4.68, "learning_rate": 4.4e-05, "loss": 0.4891, "step": 880 }, { "epoch": 4.73, "learning_rate": 4.45e-05, "loss": 0.5956, "step": 890 }, { "epoch": 4.79, "learning_rate": 4.4999999999999996e-05, "loss": 0.7857, "step": 900 }, { "epoch": 4.79, "eval_accuracy": 0.7386666666666667, "eval_combined_score": 0.6626504648943422, "eval_f1": 0.6276400817995911, "eval_loss": 0.6514685153961182, "eval_precision": 0.5456284444444445, "eval_recall": 0.7386666666666667, "eval_runtime": 5.9473, "eval_samples_per_second": 252.216, "eval_steps_per_second": 7.903, "step": 900 } ], "logging_steps": 10, "max_steps": 5640, "num_train_epochs": 30, "save_steps": 300, "total_flos": 1890206726750208.0, "trial_name": null, "trial_params": null }