Fixed some typos in the code

    last_saved_file = "<none>"

    last_saved_image = "<none>"

    ititial_step = hypernetwork.step or 0

    if ititial_step > steps:

    initial_step = hypernetwork.step or 0

    if initial_step > steps:

        return hypernetwork, filename

    scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)

    scheduler = LearnRateScheduler(learn_rate, steps, initial_step)

    optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)

    if shared.opts.training_enable_tensorboard:

        tensorboard_writer = textual_inversion.tensorboard_setup(log_directory)

    pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)

    pbar = tqdm.tqdm(enumerate(ds), total=steps - initial_step)

    for i, entries in pbar:

        hypernetwork.step = i + ititial_step

        hypernetwork.step = i + initial_step

        scheduler.apply(optimizer, hypernetwork.step)

        if scheduler.finished: