num_warmup_steps: Optional[int] = args.lr_warmup_steps num_training_steps = args.max_train_steps * num_processes * args.gradient_accumulation_steps num_cycles = args.lr_scheduler_num_cycles power = args.lr_scheduler_power @@ -2484,6 +2484,11 @@ def get_scheduler_fix(args, optimizer...
nuts = MCMC( NUTS(model_logreg), num_warmup=2**13, num_samples=2**10, num_chains=2**5, chain_method="vectorized", ) nuts.warmup(jr.key(2), x_train, labels_train, extra_fields=("num_steps",)) warmup_steps = nuts.get_extra_fields()["num_steps"] print(f"num warmup steps...
训练配置中的num_steps参数指定训练模型的步骤数。另一方面，total_steps参数与学习率计划结合使用，该计划...
return schedule_func( TypeError: get_cosine_schedule_with_warmup() got an unexpected keyword argument 'num_decay_steps' Reinstalling did not solve the problem.