Hi!
Are you trying to predict all three classes? Positive, neutral, negative?
If so, applying a sigmoid function probably isn’t the way to as that’s designed for Binary cases. Using a Softmax function, with NLLLoss is better - or you can pass the raw logits (from the linear layer) to CrossEntropyLoss which combines the softmax + NLLLoss.