{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.3099381673356165, "eval_steps": 500, "global_step": 5000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 2e-05, "loss": 9.8671, "step": 50 }, { "epoch": 0.01, "learning_rate": 4e-05, "loss": 8.0656, "step": 100 }, { "epoch": 0.01, "learning_rate": 6e-05, "loss": 7.0772, "step": 150 }, { "epoch": 0.01, "learning_rate": 8e-05, "loss": 6.5354, "step": 200 }, { "epoch": 0.02, "learning_rate": 0.0001, "loss": 6.3969, "step": 250 }, { "epoch": 0.02, "learning_rate": 0.00012, "loss": 6.3607, "step": 300 }, { "epoch": 0.02, "learning_rate": 0.00014000000000000001, "loss": 6.3618, "step": 350 }, { "epoch": 0.02, "learning_rate": 0.00016, "loss": 6.3356, "step": 400 }, { "epoch": 0.03, "learning_rate": 0.00017999999999999998, "loss": 6.3251, "step": 450 }, { "epoch": 0.03, "learning_rate": 0.0002, "loss": 6.3114, "step": 500 }, { "epoch": 0.03, "learning_rate": 0.00022, "loss": 6.3068, "step": 550 }, { "epoch": 0.04, "learning_rate": 0.00024, "loss": 6.3395, "step": 600 }, { "epoch": 0.04, "learning_rate": 0.00026000000000000003, "loss": 6.3043, "step": 650 }, { "epoch": 0.04, "learning_rate": 0.00028000000000000003, "loss": 6.3283, "step": 700 }, { "epoch": 0.05, "learning_rate": 0.0003, "loss": 6.2978, "step": 750 }, { "epoch": 0.05, "learning_rate": 0.00032, "loss": 6.2991, "step": 800 }, { "epoch": 0.05, "learning_rate": 0.00034, "loss": 6.2918, "step": 850 }, { "epoch": 0.06, "learning_rate": 0.00035999999999999997, "loss": 6.2905, "step": 900 }, { "epoch": 0.06, "learning_rate": 0.00038, "loss": 6.2749, "step": 950 }, { "epoch": 0.06, "learning_rate": 0.0004, "loss": 6.2729, "step": 1000 }, { "epoch": 0.07, "learning_rate": 0.00042, "loss": 6.2746, "step": 1050 }, { "epoch": 0.07, "learning_rate": 0.00044, "loss": 6.2571, "step": 1100 }, { "epoch": 0.07, "learning_rate": 0.00046, "loss": 6.2429, "step": 1150 }, { "epoch": 0.07, "learning_rate": 0.00048, "loss": 6.217, "step": 1200 }, { "epoch": 0.08, "learning_rate": 0.0005, "loss": 6.1977, "step": 1250 }, { "epoch": 0.08, "learning_rate": 0.0005200000000000001, "loss": 6.1434, "step": 1300 }, { "epoch": 0.08, "learning_rate": 0.00054, "loss": 6.0999, "step": 1350 }, { "epoch": 0.09, "learning_rate": 0.0005600000000000001, "loss": 6.0825, "step": 1400 }, { "epoch": 0.09, "learning_rate": 0.00058, "loss": 6.0578, "step": 1450 }, { "epoch": 0.09, "learning_rate": 0.0006, "loss": 6.0093, "step": 1500 }, { "epoch": 0.1, "learning_rate": 0.00062, "loss": 5.9856, "step": 1550 }, { "epoch": 0.1, "learning_rate": 0.00064, "loss": 5.9808, "step": 1600 }, { "epoch": 0.1, "learning_rate": 0.00066, "loss": 5.9318, "step": 1650 }, { "epoch": 0.11, "learning_rate": 0.00068, "loss": 5.9262, "step": 1700 }, { "epoch": 0.11, "learning_rate": 0.0007, "loss": 5.9321, "step": 1750 }, { "epoch": 0.11, "learning_rate": 0.0007199999999999999, "loss": 5.8779, "step": 1800 }, { "epoch": 0.11, "learning_rate": 0.00074, "loss": 5.7584, "step": 1850 }, { "epoch": 0.12, "learning_rate": 0.00076, "loss": 5.6457, "step": 1900 }, { "epoch": 0.12, "learning_rate": 0.0007800000000000001, "loss": 5.5759, "step": 1950 }, { "epoch": 0.12, "learning_rate": 0.0008, "loss": 5.4955, "step": 2000 }, { "epoch": 0.13, "learning_rate": 0.00082, "loss": 5.4367, "step": 2050 }, { "epoch": 0.13, "learning_rate": 0.00084, "loss": 5.3887, "step": 2100 }, { "epoch": 0.13, "learning_rate": 0.00086, "loss": 5.3198, "step": 2150 }, { "epoch": 0.14, "learning_rate": 0.00088, "loss": 5.2592, "step": 2200 }, { "epoch": 0.14, "learning_rate": 0.0009000000000000001, "loss": 5.2409, "step": 2250 }, { "epoch": 0.14, "learning_rate": 0.00092, "loss": 5.1493, "step": 2300 }, { "epoch": 0.15, "learning_rate": 0.00094, "loss": 5.1274, "step": 2350 }, { "epoch": 0.15, "learning_rate": 0.00096, "loss": 5.0972, "step": 2400 }, { "epoch": 0.15, "learning_rate": 0.00098, "loss": 5.0449, "step": 2450 }, { "epoch": 0.15, "learning_rate": 0.001, "loss": 5.0472, "step": 2500 }, { "epoch": 0.16, "learning_rate": 0.00098, "loss": 5.0071, "step": 2550 }, { "epoch": 0.16, "learning_rate": 0.00096, "loss": 4.9817, "step": 2600 }, { "epoch": 0.16, "learning_rate": 0.00094, "loss": 4.9384, "step": 2650 }, { "epoch": 0.17, "learning_rate": 0.00092, "loss": 4.9402, "step": 2700 }, { "epoch": 0.17, "learning_rate": 0.0009000000000000001, "loss": 4.887, "step": 2750 }, { "epoch": 0.17, "learning_rate": 0.00088, "loss": 4.8869, "step": 2800 }, { "epoch": 0.18, "learning_rate": 0.00086, "loss": 4.8926, "step": 2850 }, { "epoch": 0.18, "learning_rate": 0.00084, "loss": 4.8436, "step": 2900 }, { "epoch": 0.18, "learning_rate": 0.00082, "loss": 4.8625, "step": 2950 }, { "epoch": 0.19, "learning_rate": 0.0008, "loss": 4.8511, "step": 3000 }, { "epoch": 0.19, "learning_rate": 0.0007800000000000001, "loss": 4.815, "step": 3050 }, { "epoch": 0.19, "learning_rate": 0.00076, "loss": 4.7687, "step": 3100 }, { "epoch": 0.2, "learning_rate": 0.00074, "loss": 4.7673, "step": 3150 }, { "epoch": 0.2, "learning_rate": 0.0007199999999999999, "loss": 4.7485, "step": 3200 }, { "epoch": 0.2, "learning_rate": 0.0007, "loss": 4.7563, "step": 3250 }, { "epoch": 0.2, "learning_rate": 0.00068, "loss": 4.7166, "step": 3300 }, { "epoch": 0.21, "learning_rate": 0.00066, "loss": 4.7135, "step": 3350 }, { "epoch": 0.21, "learning_rate": 0.00064, "loss": 4.7097, "step": 3400 }, { "epoch": 0.21, "learning_rate": 0.00062, "loss": 4.6542, "step": 3450 }, { "epoch": 0.22, "learning_rate": 0.0006, "loss": 4.6362, "step": 3500 }, { "epoch": 0.22, "learning_rate": 0.00058, "loss": 4.6111, "step": 3550 }, { "epoch": 0.22, "learning_rate": 0.0005600000000000001, "loss": 4.6141, "step": 3600 }, { "epoch": 0.23, "learning_rate": 0.00054, "loss": 4.5965, "step": 3650 }, { "epoch": 0.23, "learning_rate": 0.0005200000000000001, "loss": 4.5671, "step": 3700 }, { "epoch": 0.23, "learning_rate": 0.0005, "loss": 4.5781, "step": 3750 }, { "epoch": 0.24, "learning_rate": 0.00048, "loss": 4.5353, "step": 3800 }, { "epoch": 0.24, "learning_rate": 0.00046, "loss": 4.5466, "step": 3850 }, { "epoch": 0.24, "learning_rate": 0.00044, "loss": 4.5191, "step": 3900 }, { "epoch": 0.24, "learning_rate": 0.00042, "loss": 4.5226, "step": 3950 }, { "epoch": 0.25, "learning_rate": 0.0004, "loss": 4.502, "step": 4000 }, { "epoch": 0.25, "learning_rate": 0.00038, "loss": 4.4773, "step": 4050 }, { "epoch": 0.25, "learning_rate": 0.00035999999999999997, "loss": 4.4743, "step": 4100 }, { "epoch": 0.26, "learning_rate": 0.00034, "loss": 4.473, "step": 4150 }, { "epoch": 0.26, "learning_rate": 0.00032, "loss": 4.4472, "step": 4200 }, { "epoch": 0.26, "learning_rate": 0.0003, "loss": 4.4057, "step": 4250 }, { "epoch": 0.27, "learning_rate": 0.00028000000000000003, "loss": 4.4335, "step": 4300 }, { "epoch": 0.27, "learning_rate": 0.00026000000000000003, "loss": 4.3862, "step": 4350 }, { "epoch": 0.27, "learning_rate": 0.00024, "loss": 4.3897, "step": 4400 }, { "epoch": 0.28, "learning_rate": 0.00022, "loss": 4.3902, "step": 4450 }, { "epoch": 0.28, "learning_rate": 0.0002, "loss": 4.3782, "step": 4500 }, { "epoch": 0.28, "learning_rate": 0.00017999999999999998, "loss": 4.3618, "step": 4550 }, { "epoch": 0.29, "learning_rate": 0.00016, "loss": 4.3635, "step": 4600 }, { "epoch": 0.29, "learning_rate": 0.00014000000000000001, "loss": 4.3466, "step": 4650 }, { "epoch": 0.29, "learning_rate": 0.00012, "loss": 4.3191, "step": 4700 }, { "epoch": 0.29, "learning_rate": 0.0001, "loss": 4.3319, "step": 4750 }, { "epoch": 0.3, "learning_rate": 8e-05, "loss": 4.3091, "step": 4800 }, { "epoch": 0.3, "learning_rate": 6e-05, "loss": 4.3186, "step": 4850 }, { "epoch": 0.3, "learning_rate": 4e-05, "loss": 4.3197, "step": 4900 }, { "epoch": 0.31, "learning_rate": 2e-05, "loss": 4.2912, "step": 4950 }, { "epoch": 0.31, "learning_rate": 0.0, "loss": 4.3033, "step": 5000 }, { "epoch": 0.31, "step": 5000, "total_flos": 7.554075721728e+16, "train_loss": 5.339358209228515, "train_runtime": 13704.7632, "train_samples_per_second": 93.398, "train_steps_per_second": 0.365 } ], "logging_steps": 50, "max_steps": 5000, "num_train_epochs": 1, "save_steps": 2000, "total_flos": 7.554075721728e+16, "trial_name": null, "trial_params": null }