Trocr Inference confidence problem
Hello everyone.How can confidence in model output be handled? After fine-tuning the model, I tested it with a blank image, and the model generated some characters. I attempted to use the following code to evaluate confidence:ids, scores = generated_outputs['sequences'], generated_outputs['sequences_scores']
confidence = torch.exp(scores)The result was:Predicted Text: ，９）＿．７％Confidence: tensor([0.9678], device=‘mps:0’)Even when using the pre-trained model directly, it always produces some output instead of an empty result.