Index Error: Target {} is out of bounds
I’m replicating the text classification on IMDB dataset instructions on my own dataset.When I check my labels, I get the right labels, but then when I run my training code, it says one of my labels is out of bounds.I have the notebook linked, if anyone has a solution.colab.research.google.comGoogle ColabHere is the code.training_args = TrainingArguments(output_dir=“my_awesome_model”,learning_rate=2e-5,per_device_train_batch_size=16,per_device_eval_batch_size=16,num_train_epochs=2,weight_decay=0.01,evaluation_strategy=“epoch”,save_strategy=“epoch”,load_best_model_at_end=True,push_to_hub=True,)trainer = Trainer(model=model,args=training_args,train_dataset=tokenized_incom[“train”],eval_dataset=tokenized_incom[“test”],tokenizer=tokenizer,data_collator=data_collator,compute_metrics=compute_metrics,)trainer.train()IndexError                                Traceback (most recent call last)in <cell line: 24>()22 )23—> 24 trainer.train()10 frames/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py in cross_entropy(input, target, weight, size_average, ignore_index, reduce, reduction, label_smoothing)3057     if size_average is not None or reduce is not None:3058         reduction = _Reduction.legacy_get_string(size_average, reduce)→ 3059     return torch._C._nn.cross_entropy_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index, label_smoothing)30603061IndexError: Target 742 is out of bounds.Unique labels: {928, 384, 742}