Hyperparameter search with wandb
when I tried to use wandb for hyperparameter-search, I got this warning:[WARNING|trainer.py:1456] 2024-05-07 10:40:15,466 >> Trying to set _wandb in the hyperparameter search but there is no corresponding field in `TrainingArguments`.
[WARNING|trainer.py:1456] 2024-05-07 10:40:15,466 >> Trying to set assignments in the hyperparameter search but there is no corresponding field in `TrainingArguments`.
[WARNING|trainer.py:1456] 2024-05-07 10:40:15,466 >> Trying to set metric in the hyperparameter search but there is no corresponding field in `TrainingArguments`.
[INFO|trainer.py:1472] 2024-05-07 10:40:15,467 >> W&B Sweep parameters: {'_wandb': {}, 'learning_rate': 9.844105079620968e-06, 'per_device_train_batch_size': 64, 'assignments': {}, 'metric': 'eval/loss'}This is the code that I am using:def model_init(trial):
        return CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
    
    # 8. Initialize our trainer
    trainer = Trainer(
        args=training_args,
        train_dataset=train_dataset if training_args.do_train else None,
        eval_dataset=eval_dataset if training_args.do_eval else None,
        data_collator=collate_fn,
        model_init=model_init,
    )

    def wandb_hp_space(trial):
        return {
            "method": "random",
            "metric": {"name": "eval_loss", 
                       "goal": "minimize"},
            "parameters": {
                "learning_rate": {"distribution": "uniform", "min": 1e-6, "max": 1e-4},
                "per_device_train_batch_size": {"values": [16, 32, 64]},
            },
            "run_cap":8
        }
    # Define compute objective function
    def compute_objective(metrics):
        return metrics["eval_loss"]

    best_trial = trainer.hyperparameter_search(
        direction="minimize",
        backend="wandb",
        hp_space=wandb_hp_space,
        n_trials=16,
        compute_objective=compute_objective,Although I got an output, I still do not understand the warning and its potential impact.Thank you in advance for clarifying.
2024-07-28T15:03:46Z
Have you found the solution to this problem?