{ "selection": { "top_k_by_val_loss": 3, "selected_learning_rate": 5e-05, "selected_eval_loss": 0.3116225302219391, "selected_val_accuracy": 0.3056092843326886, "selection_metric": "val_accuracy", "selection_pool": "all_results_with_val_accuracy" }, "all_results": [ { "learning_rate": 5e-06, "eval_loss": 1.3911296129226685, "val_accuracy": 0.16634429400386846 }, { "learning_rate": 1e-05, "eval_loss": 1.0051440000534058, "val_accuracy": 0.20502901353965183 }, { "learning_rate": 2e-05, "eval_loss": 0.5822967290878296, "val_accuracy": 0.2205029013539652 }, { "learning_rate": 5e-05, "eval_loss": 0.3116225302219391, "val_accuracy": 0.3056092843326886 }, { "learning_rate": 0.0001, "eval_loss": 0.2630050480365753, "val_accuracy": 0.29593810444874274 } ], "top_by_val_loss": [ { "learning_rate": 0.0001, "eval_loss": 0.2630050480365753, "val_accuracy": 0.29593810444874274 }, { "learning_rate": 5e-05, "eval_loss": 0.3116225302219391, "val_accuracy": 0.3056092843326886 }, { "learning_rate": 2e-05, "eval_loss": 0.5822967290878296, "val_accuracy": 0.2205029013539652 } ] }