Hi. Thanks for your response. Here is a snippet:

import os

from clearml import Task

# basic parameters
PATH_TO_ARTIFACT = '/app/artifact'
PROJECT_NAME = 'my_awesome_project'
TASK_NAME = 'my_awesome_task'
OUTPUT_URI = '

'
NUM_EPOCHS = 3


# create something to log in ClearML
if not os.path.exists(PATH_TO_ARTIFACT):
    os.makedirs(PATH_TO_ARTIFACT)

with open(os.path.join(PATH_TO_ARTIFACT, 'test.txt'), 'w') as f:
    f.write('very important data')


# create new task
task = Task.init(
    project_name=PROJECT_NAME,
    task_name=TASK_NAME,
    output_uri=OUTPUT_URI,
)

# simulate training process
for epoch in range(NUM_EPOCHS):

    artifact_name = f'artifact_epoch_{epoch}'

    # upload
    task.upload_artifact(
        name=artifact_name,
        artifact_object=PATH_TO_ARTIFACT,
        wait_on_upload=True
    )

    # remove
    task.delete_artifacts(artifact_names=[artifact_name])


# check what artifacts we have
print(task.artifacts)