我正在使用带有 HuggingFace 的 Raytune 进行超参数调整，以下是我的代码片段：
from ray.tune.schedulers import PopulationBasedTraining
from ray.tune import uniform
from random import randint
scheduler = PopulationBasedTraining(
mode = "max",
metric='mean_accuracy',
perturbation_interval=2,
hyperparam_mutations={
"weight_decay": lambda: uniform(0.0, 0.3),
"learning_rate": lambda: uniform(1e-5, 5e-5),
"per_gpu_train_batch_size": [16, 32, 64],
"num_train_epochs": [2,3,4],
"warmup_steps":lambda: randint(0, 500)
}
)
best_trial = trainer.hyperparameter_search(
direction="maximize",
backend="ray",
n_trials=4,
keep_checkpoints_num=1,
scheduler=scheduler)
但是，我不明白它给了我错误：
[TuneError: ('Trials did not complete', \[_inner_53895_00000, _inner_53895_00001, _inner_53895_00002, _inner_53895_00003\])][1]
