{ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.0387498870924037, "global_step": 11500, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.05, "learning_rate": 4.954836961430765e-05, "loss": 1.1847, "step": 500 }, { "epoch": 0.09, "learning_rate": 4.9096739228615304e-05, "loss": 0.4241, "step": 1000 }, { "epoch": 0.14, "learning_rate": 4.8645108842922955e-05, "loss": 0.3364, "step": 1500 }, { "epoch": 0.18, "learning_rate": 4.8193478457230606e-05, "loss": 0.2869, "step": 2000 }, { "epoch": 0.23, "learning_rate": 4.774184807153825e-05, "loss": 0.2546, "step": 2500 }, { "epoch": 0.27, "learning_rate": 4.729021768584591e-05, "loss": 0.2338, "step": 3000 }, { "epoch": 0.32, "learning_rate": 4.683858730015356e-05, "loss": 0.2185, "step": 3500 }, { "epoch": 0.36, "learning_rate": 4.63869569144612e-05, "loss": 0.2037, "step": 4000 }, { "epoch": 0.41, "learning_rate": 4.593532652876886e-05, "loss": 0.1931, "step": 4500 }, { "epoch": 0.45, "learning_rate": 4.548369614307651e-05, "loss": 0.1868, "step": 5000 }, { "epoch": 0.5, "learning_rate": 4.5032065757384155e-05, "loss": 0.1779, "step": 5500 }, { "epoch": 0.54, "learning_rate": 4.4580435371691806e-05, "loss": 0.1688, "step": 6000 }, { "epoch": 0.59, "learning_rate": 4.4128804985999464e-05, "loss": 0.1628, "step": 6500 }, { "epoch": 0.63, "learning_rate": 4.367717460030711e-05, "loss": 0.1602, "step": 7000 }, { "epoch": 0.68, "learning_rate": 4.322554421461476e-05, "loss": 0.1533, "step": 7500 }, { "epoch": 0.72, "learning_rate": 4.277391382892241e-05, "loss": 0.1493, "step": 8000 }, { "epoch": 0.77, "learning_rate": 4.232228344323007e-05, "loss": 0.1457, "step": 8500 }, { "epoch": 0.81, "learning_rate": 4.187065305753771e-05, "loss": 0.1421, "step": 9000 }, { "epoch": 0.86, "learning_rate": 4.141902267184536e-05, "loss": 0.1393, "step": 9500 }, { "epoch": 0.9, "learning_rate": 4.096739228615302e-05, "loss": 0.134, "step": 10000 }, { "epoch": 0.95, "learning_rate": 4.0515761900460664e-05, "loss": 0.1312, "step": 10500 }, { "epoch": 0.99, "learning_rate": 4.0064131514768315e-05, "loss": 0.128, "step": 11000 }, { "epoch": 1.04, "learning_rate": 3.9612501129075966e-05, "loss": 0.121, "step": 11500 } ], "max_steps": 55355, "num_train_epochs": 5, "total_flos": 2.80476865363968e+16, "trial_name": null, "trial_params": null }