{ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.0, "global_step": 14299, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.01, "learning_rate": 4.744067728226103e-05, "loss": 2.2624, "step": 100 }, { "epoch": 0.01, "learning_rate": 5e-05, "loss": 1.6195, "step": 200 }, { "epoch": 0.02, "learning_rate": 5e-05, "loss": 1.5902, "step": 300 }, { "epoch": 0.03, "learning_rate": 5e-05, "loss": 1.5743, "step": 400 }, { "epoch": 0.03, "learning_rate": 5e-05, "loss": 1.6174, "step": 500 }, { "epoch": 0.04, "learning_rate": 5e-05, "loss": 1.5901, "step": 600 }, { "epoch": 0.05, "learning_rate": 5e-05, "loss": 1.6239, "step": 700 }, { "epoch": 0.06, "learning_rate": 5e-05, "loss": 1.5941, "step": 800 }, { "epoch": 0.06, "learning_rate": 5e-05, "loss": 1.5958, "step": 900 }, { "epoch": 0.07, "learning_rate": 5e-05, "loss": 1.6153, "step": 1000 }, { "epoch": 0.08, "learning_rate": 5e-05, "loss": 1.6057, "step": 1100 }, { "epoch": 0.08, "learning_rate": 5e-05, "loss": 1.5912, "step": 1200 }, { "epoch": 0.09, "learning_rate": 5e-05, "loss": 1.5743, "step": 1300 }, { "epoch": 0.1, "learning_rate": 5e-05, "loss": 1.5914, "step": 1400 }, { "epoch": 0.1, "learning_rate": 5e-05, "loss": 1.5982, "step": 1500 }, { "epoch": 0.11, "learning_rate": 5e-05, "loss": 1.6243, "step": 1600 }, { "epoch": 0.12, "learning_rate": 5e-05, "loss": 1.5919, "step": 1700 }, { "epoch": 0.13, "learning_rate": 5e-05, "loss": 1.6657, "step": 1800 }, { "epoch": 0.13, "learning_rate": 5e-05, "loss": 1.5617, "step": 1900 }, { "epoch": 0.14, "learning_rate": 5e-05, "loss": 1.6119, "step": 2000 }, { "epoch": 0.15, "learning_rate": 5e-05, "loss": 1.6065, "step": 2100 }, { "epoch": 0.15, "learning_rate": 5e-05, "loss": 1.6083, "step": 2200 }, { "epoch": 0.16, "learning_rate": 5e-05, "loss": 1.5941, "step": 2300 }, { "epoch": 0.17, "learning_rate": 5e-05, "loss": 1.5984, "step": 2400 }, { "epoch": 0.17, "learning_rate": 5e-05, "loss": 1.6146, "step": 2500 }, { "epoch": 0.18, "learning_rate": 5e-05, "loss": 1.5795, "step": 2600 }, { "epoch": 0.19, "learning_rate": 5e-05, "loss": 1.6075, "step": 2700 }, { "epoch": 0.2, "learning_rate": 5e-05, "loss": 1.5891, "step": 2800 }, { "epoch": 0.2, "learning_rate": 5e-05, "loss": 1.6145, "step": 2900 }, { "epoch": 0.21, "learning_rate": 5e-05, "loss": 1.6148, "step": 3000 }, { "epoch": 0.22, "learning_rate": 5e-05, "loss": 1.5933, "step": 3100 }, { "epoch": 0.22, "learning_rate": 5e-05, "loss": 1.5984, "step": 3200 }, { "epoch": 0.23, "learning_rate": 5e-05, "loss": 1.5871, "step": 3300 }, { "epoch": 0.24, "learning_rate": 5e-05, "loss": 1.5893, "step": 3400 }, { "epoch": 0.24, "learning_rate": 5e-05, "loss": 1.6136, "step": 3500 }, { "epoch": 0.25, "learning_rate": 5e-05, "loss": 1.5723, "step": 3600 }, { "epoch": 0.26, "learning_rate": 5e-05, "loss": 1.5873, "step": 3700 }, { "epoch": 0.27, "learning_rate": 5e-05, "loss": 1.5868, "step": 3800 }, { "epoch": 0.27, "learning_rate": 5e-05, "loss": 1.6131, "step": 3900 }, { "epoch": 0.28, "learning_rate": 5e-05, "loss": 1.5685, "step": 4000 }, { "epoch": 0.29, "learning_rate": 5e-05, "loss": 1.6014, "step": 4100 }, { "epoch": 0.29, "learning_rate": 5e-05, "loss": 1.5402, "step": 4200 }, { "epoch": 0.3, "learning_rate": 5e-05, "loss": 1.577, "step": 4300 }, { "epoch": 0.31, "learning_rate": 5e-05, "loss": 1.5723, "step": 4400 }, { "epoch": 0.31, "learning_rate": 5e-05, "loss": 1.5432, "step": 4500 }, { "epoch": 0.32, "learning_rate": 5e-05, "loss": 1.5987, "step": 4600 }, { "epoch": 0.33, "learning_rate": 5e-05, "loss": 1.6015, "step": 4700 }, { "epoch": 0.34, "learning_rate": 5e-05, "loss": 1.5848, "step": 4800 }, { "epoch": 0.34, "learning_rate": 5e-05, "loss": 1.547, "step": 4900 }, { "epoch": 0.35, "learning_rate": 5e-05, "loss": 1.563, "step": 5000 }, { "epoch": 0.36, "learning_rate": 5e-05, "loss": 1.571, "step": 5100 }, { "epoch": 0.36, "learning_rate": 5e-05, "loss": 1.5562, "step": 5200 }, { "epoch": 0.37, "learning_rate": 5e-05, "loss": 1.5762, "step": 5300 }, { "epoch": 0.38, "learning_rate": 5e-05, "loss": 1.5837, "step": 5400 }, { "epoch": 0.38, "learning_rate": 5e-05, "loss": 1.5926, "step": 5500 }, { "epoch": 0.39, "learning_rate": 5e-05, "loss": 1.5939, "step": 5600 }, { "epoch": 0.4, "learning_rate": 5e-05, "loss": 1.5689, "step": 5700 }, { "epoch": 0.41, "learning_rate": 5e-05, "loss": 1.5701, "step": 5800 }, { "epoch": 0.41, "learning_rate": 5e-05, "loss": 1.5744, "step": 5900 }, { "epoch": 0.42, "learning_rate": 5e-05, "loss": 1.5617, "step": 6000 }, { "epoch": 0.43, "learning_rate": 5e-05, "loss": 1.594, "step": 6100 }, { "epoch": 0.43, "learning_rate": 5e-05, "loss": 1.5909, "step": 6200 }, { "epoch": 0.44, "learning_rate": 5e-05, "loss": 1.544, "step": 6300 }, { "epoch": 0.45, "learning_rate": 5e-05, "loss": 1.5568, "step": 6400 }, { "epoch": 0.45, "learning_rate": 5e-05, "loss": 1.5536, "step": 6500 }, { "epoch": 0.46, "learning_rate": 5e-05, "loss": 1.5356, "step": 6600 }, { "epoch": 0.47, "learning_rate": 5e-05, "loss": 1.5098, "step": 6700 }, { "epoch": 0.48, "learning_rate": 5e-05, "loss": 1.5231, "step": 6800 }, { "epoch": 0.48, "learning_rate": 5e-05, "loss": 1.5658, "step": 6900 }, { "epoch": 0.49, "learning_rate": 5e-05, "loss": 1.5379, "step": 7000 }, { "epoch": 0.5, "learning_rate": 5e-05, "loss": 1.5326, "step": 7100 }, { "epoch": 0.5, "learning_rate": 5e-05, "loss": 1.5385, "step": 7200 }, { "epoch": 0.51, "learning_rate": 5e-05, "loss": 1.5492, "step": 7300 }, { "epoch": 0.52, "learning_rate": 5e-05, "loss": 1.5566, "step": 7400 }, { "epoch": 0.52, "learning_rate": 5e-05, "loss": 1.5182, "step": 7500 }, { "epoch": 0.53, "learning_rate": 5e-05, "loss": 1.542, "step": 7600 }, { "epoch": 0.54, "learning_rate": 5e-05, "loss": 1.5348, "step": 7700 }, { "epoch": 0.55, "learning_rate": 5e-05, "loss": 1.541, "step": 7800 }, { "epoch": 0.55, "learning_rate": 5e-05, "loss": 1.545, "step": 7900 }, { "epoch": 0.56, "learning_rate": 5e-05, "loss": 1.5045, "step": 8000 }, { "epoch": 0.57, "learning_rate": 5e-05, "loss": 1.4969, "step": 8100 }, { "epoch": 0.57, "learning_rate": 5e-05, "loss": 1.517, "step": 8200 }, { "epoch": 0.58, "learning_rate": 5e-05, "loss": 1.5262, "step": 8300 }, { "epoch": 0.59, "learning_rate": 5e-05, "loss": 1.5164, "step": 8400 }, { "epoch": 0.59, "learning_rate": 5e-05, "loss": 1.5557, "step": 8500 }, { "epoch": 0.6, "learning_rate": 5e-05, "loss": 1.5422, "step": 8600 }, { "epoch": 0.61, "learning_rate": 5e-05, "loss": 1.5283, "step": 8700 }, { "epoch": 0.62, "learning_rate": 5e-05, "loss": 1.5218, "step": 8800 }, { "epoch": 0.62, "learning_rate": 5e-05, "loss": 1.5142, "step": 8900 }, { "epoch": 0.63, "learning_rate": 5e-05, "loss": 1.5171, "step": 9000 }, { "epoch": 0.64, "learning_rate": 5e-05, "loss": 1.517, "step": 9100 }, { "epoch": 0.64, "learning_rate": 5e-05, "loss": 1.529, "step": 9200 }, { "epoch": 0.65, "learning_rate": 5e-05, "loss": 1.5035, "step": 9300 }, { "epoch": 0.66, "learning_rate": 5e-05, "loss": 1.5116, "step": 9400 }, { "epoch": 0.66, "learning_rate": 5e-05, "loss": 1.5186, "step": 9500 }, { "epoch": 0.67, "learning_rate": 5e-05, "loss": 1.4911, "step": 9600 }, { "epoch": 0.68, "learning_rate": 5e-05, "loss": 1.4649, "step": 9700 }, { "epoch": 0.69, "learning_rate": 5e-05, "loss": 1.4844, "step": 9800 }, { "epoch": 0.69, "learning_rate": 5e-05, "loss": 1.5288, "step": 9900 }, { "epoch": 0.7, "learning_rate": 5e-05, "loss": 1.4952, "step": 10000 }, { "epoch": 0.71, "learning_rate": 5e-05, "loss": 1.4732, "step": 10100 }, { "epoch": 0.71, "learning_rate": 5e-05, "loss": 1.5338, "step": 10200 }, { "epoch": 0.72, "learning_rate": 5e-05, "loss": 1.4655, "step": 10300 }, { "epoch": 0.73, "learning_rate": 5e-05, "loss": 1.4582, "step": 10400 }, { "epoch": 0.73, "learning_rate": 5e-05, "loss": 1.4788, "step": 10500 }, { "epoch": 0.74, "learning_rate": 5e-05, "loss": 1.4891, "step": 10600 }, { "epoch": 0.75, "learning_rate": 5e-05, "loss": 1.5126, "step": 10700 }, { "epoch": 0.76, "learning_rate": 5e-05, "loss": 1.5224, "step": 10800 }, { "epoch": 0.76, "learning_rate": 5e-05, "loss": 1.4811, "step": 10900 }, { "epoch": 0.77, "learning_rate": 5e-05, "loss": 1.4623, "step": 11000 }, { "epoch": 0.78, "learning_rate": 5e-05, "loss": 1.4655, "step": 11100 }, { "epoch": 0.78, "learning_rate": 5e-05, "loss": 1.4531, "step": 11200 }, { "epoch": 0.79, "learning_rate": 5e-05, "loss": 1.4616, "step": 11300 }, { "epoch": 0.8, "learning_rate": 5e-05, "loss": 1.4442, "step": 11400 }, { "epoch": 0.8, "learning_rate": 5e-05, "loss": 1.4889, "step": 11500 }, { "epoch": 0.81, "learning_rate": 5e-05, "loss": 1.5087, "step": 11600 }, { "epoch": 0.82, "learning_rate": 5e-05, "loss": 1.4804, "step": 11700 }, { "epoch": 0.83, "learning_rate": 5e-05, "loss": 1.4737, "step": 11800 }, { "epoch": 0.83, "learning_rate": 5e-05, "loss": 1.4591, "step": 11900 }, { "epoch": 0.84, "learning_rate": 5e-05, "loss": 1.4595, "step": 12000 }, { "epoch": 0.85, "learning_rate": 5e-05, "loss": 1.4909, "step": 12100 }, { "epoch": 0.85, "learning_rate": 5e-05, "loss": 1.4742, "step": 12200 }, { "epoch": 0.86, "learning_rate": 5e-05, "loss": 1.4383, "step": 12300 }, { "epoch": 0.87, "learning_rate": 5e-05, "loss": 1.4517, "step": 12400 }, { "epoch": 0.87, "learning_rate": 5e-05, "loss": 1.448, "step": 12500 }, { "epoch": 0.88, "learning_rate": 5e-05, "loss": 1.4438, "step": 12600 }, { "epoch": 0.89, "learning_rate": 5e-05, "loss": 1.4533, "step": 12700 }, { "epoch": 0.9, "learning_rate": 5e-05, "loss": 1.4606, "step": 12800 }, { "epoch": 0.9, "learning_rate": 5e-05, "loss": 1.4629, "step": 12900 }, { "epoch": 0.91, "learning_rate": 5e-05, "loss": 1.451, "step": 13000 }, { "epoch": 0.92, "learning_rate": 5e-05, "loss": 1.4366, "step": 13100 }, { "epoch": 0.92, "learning_rate": 5e-05, "loss": 1.459, "step": 13200 }, { "epoch": 0.93, "learning_rate": 5e-05, "loss": 1.4358, "step": 13300 }, { "epoch": 0.94, "learning_rate": 5e-05, "loss": 1.4735, "step": 13400 }, { "epoch": 0.94, "learning_rate": 5e-05, "loss": 1.4474, "step": 13500 }, { "epoch": 0.95, "learning_rate": 5e-05, "loss": 1.4368, "step": 13600 }, { "epoch": 0.96, "learning_rate": 5e-05, "loss": 1.4134, "step": 13700 }, { "epoch": 0.97, "learning_rate": 5e-05, "loss": 1.455, "step": 13800 }, { "epoch": 0.97, "learning_rate": 5e-05, "loss": 1.4479, "step": 13900 }, { "epoch": 0.98, "learning_rate": 5e-05, "loss": 1.4398, "step": 14000 }, { "epoch": 0.99, "learning_rate": 5e-05, "loss": 1.433, "step": 14100 }, { "epoch": 0.99, "learning_rate": 5e-05, "loss": 1.4429, "step": 14200 }, { "epoch": 1.0, "eval_loss": 1.4375, "eval_runtime": 19.8133, "eval_samples_per_second": 117.85, "eval_steps_per_second": 14.738, "step": 14299 } ], "max_steps": 14299, "num_train_epochs": 1, "total_flos": 2.6064687168162365e+18, "trial_name": null, "trial_params": null }