psidharth567

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gemma-4b-stage4-backup

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• "tokenizers.models.Model",
• "transformers.models.gemma.tokenization_gemma_fast.GemmaTokenizerFast",
• "tokenizers.Tokenizer",
• "__main__.DataCollatorForLanguageModelingWithFullMasking",
• "tokenizers.AddedToken"

How to fix it?

• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "torch.ByteStorage",
• "_codecs.encode"

How to fix it?

• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "torch.ByteStorage",
• "_codecs.encode"

How to fix it?

• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "torch.ByteStorage",
• "_codecs.encode"

How to fix it?

• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "torch.ByteStorage",
• "_codecs.encode"

How to fix it?

• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "torch.ByteStorage",
• "_codecs.encode"

How to fix it?

• "torch.device",
• "transformers.trainer_pt_utils.AcceleratorConfig",
• "accelerate.state.PartialState",
• "accelerate.utils.dataclasses.DistributedType",
• "transformers.trainer_utils.HubStrategy",
• "transformers.training_args.TrainingArguments"

How to fix it?