Saving CHECKPOINTS takes way too long
Hi. I am practicing wit this awesome library and was training some object detection models on custom datasets.I save model each epoch if it is best model + last model. But saving the model, also if save_only_model flag is True take so much time it makes training unpractical even for very small datasets.Is there a way to save faster of to save stilized models to then load?I thank you for you availability in advance. Code of trainer below and output below.Best regards to all.training_args = TrainingArguments(
    output_dir="weights",
    num_train_epochs=20,
    max_grad_norm=0.01,
    learning_rate=5e-5,
    warmup_steps=300,
    per_device_train_batch_size=2,
    #gradient_accumulation_steps=4,
    dataloader_num_workers=0,
    metric_for_best_model="loss", # eval_map
    greater_is_better=False, # True if metric_for_best_model="eval_map"
    load_best_model_at_end=True,
    eval_strategy="epoch",
    save_strategy="epoch",
    save_total_limit=2,
    save_only_model=True,
    remove_unused_columns=False,
    eval_do_concat_batches=False,
)


trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=pytorch_dataset_train,
    eval_dataset=pytorch_dataset_valid,
    tokenizer=processor,
    data_collator=collate_fn,
    compute_metrics=eval_compute_metrics_fn,
)

trainer.train()OutputYou should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
 25%|██▌       | 500/1972 [02:58<07:25,  3.30it/s]{'loss': 129.9299, 'grad_norm': 232.07464599609375, 'learning_rate': 4.401913875598087e-05, 'epoch': 0.51}
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