RuntimeError: Error(s) in loading state_dict for APCEnsembler:

[Jai-Agarwal-04]

Using APC trainer on Politic dataset of PyAbsa datset
my code :

from pyabsa import download_all_available_datasets

download_all_available_datasets()

my_dataset = DatasetItem("/kaggle/working/integrated_datasets/datasets/apc_datasets/99.PoliticalData/custom.train.txt")

from pyabsa import ModelSaveOption, DeviceTypeOption
import warnings

warnings.filterwarnings("ignore")

from pyabsa import AspectPolarityClassification as APC
config = APC.APCConfigManager.get_apc_config_english()

from pyabsa import ModelSaveOption, DeviceTypeOption

config.num_epoch = 1
config.model = APC.APCModelList.FAST_LSA_T_V2
trainer = APC.APCTrainer(
config=config,
dataset=my_dataset,
from_checkpoint="english",
# if you want to resume training from our pretrained checkpoints, you can pass the checkpoint name here
auto_device=DeviceTypeOption.AUTO,
path_to_save=None, # set a path to save checkpoints, if it is None, save checkpoints at 'checkpoints' folder
checkpoint_save_mode=ModelSaveOption.SAVE_MODEL_STATE_DICT,
load_aug=False,
# there are some augmentation dataset for integrated datasets, you use them by setting load_aug=True to improve performance
)

and getting RuntimeError: Error(s) in loading state_dict for APCEnsembler:

[yangheng95]

https://github.com/yangheng95/PyABSA/issues/new?assignees=&labels=bug&projects=&template=bug_report.md&title=