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I'm getting the following error in the Load the Trained Model from Checkpoint for Evaluation section when trying to load the pre-trained models in the repo.
# pick load folder
load_folder = '/content/gdrive/My Drive/DL/models/checkpoints'
# pick the epoch to load
epoch = '429'
model_name = f'parallel_all_you_wantFINAL-{epoch}.pkl'
# make full load path
load_path = os.path.join(load_folder, model_name)
## instantiate empty model and populate with params from binary
model = parallel_all_you_want(len(emotions_dict))
load_checkpoint(optimizer, model, load_path)
print(f'Loaded model from {load_path}')
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-51-de60b48d9410> in <module>
11 ## instantiate empty model and populate with params from binary
12 model = parallel_all_you_want(len(emotions_dict))
---> 13 load_checkpoint(optimizer, model, load_path)
14
15 print(f'Loaded model from {load_path}')
<ipython-input-50-2469ccaf4901> in load_checkpoint(optimizer, model, filename)
11 def load_checkpoint(optimizer, model, filename):
12 checkpoint_dict = torch.load(filename, map_location=torch.device('cpu'))
---> 13 epoch = checkpoint_dict['epoch']
14 model.load_state_dict(checkpoint_dict['model'])
15 if optimizer is not None:
KeyError: 'epoch'
It appears that the pre-trained model files were not generated using the structure expected by the notebook.
The text was updated successfully, but these errors were encountered:
I'm getting the following error in the Load the Trained Model from Checkpoint for Evaluation section when trying to load the pre-trained models in the repo.
It appears that the pre-trained model files were not generated using the structure expected by the notebook.
The text was updated successfully, but these errors were encountered: