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• "numpy.dtype",
• "sklearn.linear_model._logistic.LogisticRegression",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray"

How to fix it?

• "sklearn.linear_model._logistic.LogisticRegression",
• "_codecs.encode",
• "numpy.dtype",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray"

How to fix it?

• "numpy.dtype",
• "numpy.ndarray",
• "scipy.sparse._csr.csr_matrix",
• "numpy.core.multiarray._reconstruct",
• "sklearn.feature_extraction.text.TfidfTransformer",
• "sklearn.feature_extraction.text.TfidfVectorizer",
• "numpy.float64"

How to fix it?

• "torch.nn.modules.linear.Linear",
• "__builtin__.dict",
• "torch.FloatStorage",
• "torch.nn.modules.container.Sequential",
• "torch.optim.adam.Adam",
• "torch._utils._rebuild_parameter",
• "__main__.RomanAttention",
• "torch.device",
• "torch.nn.modules.activation.ReLU",
• "pytorch_lightning.callbacks.early_stopping.EarlyStopping",
• "collections.OrderedDict",
• "torch.nn.modules.loss.CrossEntropyLoss",
• "torch.float32",
• "torch._utils._rebuild_tensor_v2",
• "lightning_fabric.utilities.data.AttributeDict",
• "__main__.MyModel",
• "torch.nn.modules.rnn.LSTM",
• "__builtin__.set",
• "torch.nn.modules.dropout.Dropout",
• "collections.defaultdict"

How to fix it?