| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "eval_steps": 500, | |
| "global_step": 1074, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 1.9068901303538176e-05, | |
| "loss": 0.5347, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "learning_rate": 1.813780260707635e-05, | |
| "loss": 0.3641, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "learning_rate": 1.7206703910614527e-05, | |
| "loss": 0.2865, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 1.62756052141527e-05, | |
| "loss": 0.2901, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "learning_rate": 1.5344506517690876e-05, | |
| "loss": 0.2969, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "learning_rate": 1.4413407821229052e-05, | |
| "loss": 0.2626, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 1.3482309124767226e-05, | |
| "loss": 0.2573, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 1.25512104283054e-05, | |
| "loss": 0.2103, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 1.1620111731843577e-05, | |
| "loss": 0.2061, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 1.0689013035381753e-05, | |
| "loss": 0.1857, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "eval_accuracy": 0.930511686670878, | |
| "eval_loss": 0.23374313116073608, | |
| "eval_runtime": 1.2019, | |
| "eval_samples_per_second": 1317.13, | |
| "eval_steps_per_second": 82.373, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 9.757914338919926e-06, | |
| "loss": 0.2075, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "learning_rate": 8.826815642458101e-06, | |
| "loss": 0.2035, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 7.895716945996277e-06, | |
| "loss": 0.1662, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "learning_rate": 6.964618249534451e-06, | |
| "loss": 0.1744, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "learning_rate": 6.033519553072626e-06, | |
| "loss": 0.1586, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "learning_rate": 5.102420856610801e-06, | |
| "loss": 0.1126, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "learning_rate": 4.171322160148976e-06, | |
| "loss": 0.1692, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "learning_rate": 3.240223463687151e-06, | |
| "loss": 0.1522, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "learning_rate": 2.3091247672253262e-06, | |
| "loss": 0.1399, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "learning_rate": 1.378026070763501e-06, | |
| "loss": 0.1134, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "eval_accuracy": 0.9330385344283006, | |
| "eval_loss": 0.24336448311805725, | |
| "eval_runtime": 1.2072, | |
| "eval_samples_per_second": 1311.338, | |
| "eval_steps_per_second": 82.01, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 4.46927374301676e-07, | |
| "loss": 0.1506, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "step": 1074, | |
| "total_flos": 929322758136024.0, | |
| "train_loss": 0.21951879535973404, | |
| "train_runtime": 134.6053, | |
| "train_samples_per_second": 254.656, | |
| "train_steps_per_second": 7.979 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 1074, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 929322758136024.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |