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skogsgren

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LIN532-dogwhistle-identification

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Runtime error

• "torch.nn.modules.loss.CrossEntropyLoss",
• "__main__.lr_schedule",
• "skorch.dataset.Dataset",
• "skorch.hf.HuggingfacePretrainedTokenizer",
• "tokenizers.models.Model",
• "skorch.utils._indexing_dict",
• "skorch.callbacks.scoring.PassthroughScoring",
• "modAL.models.learners.ActiveLearner",
• "builtins.set",
• "numpy.core.multiarray.scalar",
• "transformers.models.bert.tokenization_bert_fast.BertTokenizerFast",
• "torch.optim.lr_scheduler.LambdaLR",
• "__main__.BertModule",
• "skorch.callbacks.training.EarlyStopping",
• "torch.storage._load_from_bytes",
• "skorch.callbacks.scoring.EpochScoring",
• "modAL.uncertainty.uncertainty_sampling",
• "numpy.dtype",
• "collections.defaultdict",
• "skorch.callbacks.logging.ProgressBar",
• "builtins.dict",
• "numpy.core.multiarray._reconstruct",
• "tokenizers.Tokenizer",
• "torch._utils._rebuild_parameter",
• "skorch.callbacks.logging.EpochTimer",
• "skorch.callbacks.logging.PrintLog",
• "skorch.setter.optimizer_setter",
• "numpy.ndarray",
• "torch._utils._rebuild_tensor_v2",
• "collections.OrderedDict",
• "torch.utils.data.dataloader.DataLoader",
• "skorch.dataset.ValidSplit",
• "skorch.classifier.NeuralNetClassifier",
• "skorch.history.History",
• "sklearn.pipeline.Pipeline",
• "skorch.utils.to_numpy",
• "torch.optim.adamw.AdamW",
• "builtins.print",
• "skorch.callbacks.lr_scheduler.LRScheduler",
• "skorch.utils._indexing_other",
• "functools.partial"

How to fix it?