{ "best_metric": 0.703125, "best_model_checkpoint": "/content/20epcoh1/checkpoint-300", "epoch": 4.0, "global_step": 300, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.13, "learning_rate": 1.2e-05, "loss": 2.1242, "step": 10 }, { "epoch": 0.27, "learning_rate": 2.5333333333333337e-05, "loss": 1.8392, "step": 20 }, { "epoch": 0.4, "learning_rate": 3.866666666666667e-05, "loss": 1.5371, "step": 30 }, { "epoch": 0.53, "learning_rate": 5.2000000000000004e-05, "loss": 1.3264, "step": 40 }, { "epoch": 0.67, "learning_rate": 6.533333333333334e-05, "loss": 1.1148, "step": 50 }, { "epoch": 0.8, "learning_rate": 7.866666666666666e-05, "loss": 0.9979, "step": 60 }, { "epoch": 0.93, "learning_rate": 9.200000000000001e-05, "loss": 1.053, "step": 70 }, { "epoch": 1.0, "eval_accuracy": 0.6160714285714286, "eval_loss": 1.0581690073013306, "eval_runtime": 14.56, "eval_samples_per_second": 30.769, "eval_steps_per_second": 3.846, "step": 75 }, { "epoch": 1.07, "learning_rate": 0.00010533333333333332, "loss": 0.8613, "step": 80 }, { "epoch": 1.2, "learning_rate": 0.00011866666666666669, "loss": 0.9467, "step": 90 }, { "epoch": 1.33, "learning_rate": 0.000132, "loss": 0.8097, "step": 100 }, { "epoch": 1.47, "learning_rate": 0.00014533333333333333, "loss": 0.8538, "step": 110 }, { "epoch": 1.6, "learning_rate": 0.00015866666666666668, "loss": 0.887, "step": 120 }, { "epoch": 1.73, "learning_rate": 0.000172, "loss": 1.0396, "step": 130 }, { "epoch": 1.87, "learning_rate": 0.00018533333333333333, "loss": 0.8933, "step": 140 }, { "epoch": 2.0, "learning_rate": 0.00019866666666666668, "loss": 1.026, "step": 150 }, { "epoch": 2.0, "eval_accuracy": 0.6584821428571429, "eval_loss": 0.9405480623245239, "eval_runtime": 14.9426, "eval_samples_per_second": 29.981, "eval_steps_per_second": 3.748, "step": 150 }, { "epoch": 2.13, "learning_rate": 0.00019866666666666668, "loss": 0.78, "step": 160 }, { "epoch": 2.27, "learning_rate": 0.0001971851851851852, "loss": 0.6783, "step": 170 }, { "epoch": 2.4, "learning_rate": 0.0001957037037037037, "loss": 0.7991, "step": 180 }, { "epoch": 2.53, "learning_rate": 0.00019422222222222223, "loss": 0.7667, "step": 190 }, { "epoch": 2.67, "learning_rate": 0.00019274074074074075, "loss": 0.7979, "step": 200 }, { "epoch": 2.8, "learning_rate": 0.00019125925925925926, "loss": 0.8502, "step": 210 }, { "epoch": 2.93, "learning_rate": 0.00018977777777777778, "loss": 0.7942, "step": 220 }, { "epoch": 3.0, "eval_accuracy": 0.6339285714285714, "eval_loss": 0.9822031855583191, "eval_runtime": 19.6852, "eval_samples_per_second": 22.758, "eval_steps_per_second": 2.845, "step": 225 }, { "epoch": 3.07, "learning_rate": 0.0001882962962962963, "loss": 0.5113, "step": 230 }, { "epoch": 3.2, "learning_rate": 0.0001868148148148148, "loss": 0.659, "step": 240 }, { "epoch": 3.33, "learning_rate": 0.00018533333333333333, "loss": 0.5285, "step": 250 }, { "epoch": 3.47, "learning_rate": 0.00018385185185185185, "loss": 0.5316, "step": 260 }, { "epoch": 3.6, "learning_rate": 0.00018237037037037036, "loss": 0.5804, "step": 270 }, { "epoch": 3.73, "learning_rate": 0.0001808888888888889, "loss": 0.6496, "step": 280 }, { "epoch": 3.87, "learning_rate": 0.00017940740740740742, "loss": 0.5075, "step": 290 }, { "epoch": 4.0, "learning_rate": 0.00017792592592592594, "loss": 0.4856, "step": 300 }, { "epoch": 4.0, "eval_accuracy": 0.703125, "eval_loss": 0.831343948841095, "eval_runtime": 16.0292, "eval_samples_per_second": 27.949, "eval_steps_per_second": 3.494, "step": 300 } ], "max_steps": 1500, "num_train_epochs": 20, "total_flos": 1.962510888920408e+18, "trial_name": null, "trial_params": null }