Finetuned model takes double inference time
I am finetuning a XGLM-7.5B as a translation model using transformers 4.26.0 + deepspeed 0.8.0. The generation time for 1000 sentences of the original XGLM model downloaded from huggingface is about 8 minutes. However, when the finetuned model takes about 15 minutes to finish the generation. Could anyone tell me how to fix this problem?Code snippets that may be related:loading model(either pretrained or finetuned)tokenizer.padding_side = 'left'
model = AutoModelForCausalLM.from_pretrained(args.model_name_or_path).cuda().half()generationwith torch.no_grad():
            generated_ids = model.generate(
                **encoding,
                max_new_tokens=100,
                num_beams=4,
                early_stopping=True,
                )