The expected behavior is that the task would capture the iteration scalar of the PL trainer but nothing is recorded

import clearml
from darts.models import TFTModel

model = TFTModel(
    input_chunk_length=28,
    output_chunk_length=14,
    n_epochs=300,
    batch_size=4096,
    add_relative_index=True,
    num_attention_heads=4,
    dropout=0.3,
    full_attention=True,
    save_checkpoints=True,
)

task = Task.init(
    project_name='sales-prediction',
    task_name='TFT Training 2',
    task_type=Task.TaskTypes.training
)

trainer = pl.Trainer(
    max_epochs=300,
    enable_progress_bar=True,
    callbacks=[EarlyStopping(monitor='val_loss', patience=5, verbose=True), ModelCheckpoint(monitor='val_loss', verbose=True)],
    precision=64,
    accelerator='gpu',
    devices=[0]
)

model.fit(series=train_series, val_series=val_series, trainer=trainer)

task.flush()
task.close()