Hi! Please, could anyone explain this sort of behaviour?

First, we save a model checkpoint during training (both in .pth and .onnx format)
` output_model_pth = OutputModel(task='task_name', name='running_best_pth')
output_model_pth.update_weights('/path/to/model.pth', upload_uri='some_aws_uri',
target_filename='running_best.pth')

output_model_onnx = OutputModel(task='task_name', name='running_best_onnx')
output_model_pth.update_weights('/path/to/model.onnx', upload_uri='some_aws_uri',
target_filename='running_best.onnx') Then, we try to use running_best_pth as a starting point for another experiment input_model = InputModel(project='our_project', name='running_best_pth')
print(input_model.name) It returns running_best_onnx Why onnx when it should be pth ` ?

btw, in web ui there are 2 distinct models with correct names and file addresses