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fix warning in model utils
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@@ -490,7 +490,7 @@ class ModelMixin(torch.nn.Module):
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raise RuntimeError(f"Error(s) in loading state_dict for {model.__class__.__name__}:\n\t{error_msg}")
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if len(unexpected_keys) > 0:
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logger.warninging(
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logger.warning(
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f"Some weights of the model checkpoint at {pretrained_model_name_or_path} were not used when"
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f" initializing {model.__class__.__name__}: {unexpected_keys}\n- This IS expected if you are"
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f" initializing {model.__class__.__name__} from the checkpoint of a model trained on another task or"
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@@ -502,7 +502,7 @@ class ModelMixin(torch.nn.Module):
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else:
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logger.info(f"All model checkpoint weights were used when initializing {model.__class__.__name__}.\n")
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if len(missing_keys) > 0:
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logger.warninging(
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logger.warning(
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f"Some weights of {model.__class__.__name__} were not initialized from the model checkpoint at"
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f" {pretrained_model_name_or_path} and are newly initialized: {missing_keys}\nYou should probably"
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" TRAIN this model on a down-stream task to be able to use it for predictions and inference."
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@@ -521,7 +521,7 @@ class ModelMixin(torch.nn.Module):
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for key, shape1, shape2 in mismatched_keys
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]
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)
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logger.warninging(
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logger.warning(
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f"Some weights of {model.__class__.__name__} were not initialized from the model checkpoint at"
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f" {pretrained_model_name_or_path} and are newly initialized because the shapes did not"
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f" match:\n{mismatched_warning}\nYou should probably TRAIN this model on a down-stream task to be able"
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