runtime error

`0.8` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`. This was detected when initializing the generation config instance, which means the corresponding file may hold incorrect parameterization and should be fixed. warnings.warn( /usr/local/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:497: UserWarning: `do_sample` is set to `False`. However, `top_p` is set to `0.75` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `top_p`. This was detected when initializing the generation config instance, which means the corresponding file may hold incorrect parameterization and should be fixed. warnings.warn( /usr/local/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:509: UserWarning: `do_sample` is set to `False`. However, `top_k` is set to `40` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `top_k`. This was detected when initializing the generation config instance, which means the corresponding file may hold incorrect parameterization and should be fixed. warnings.warn( ['load_model', 'start'] Traceback (most recent call last): File "/home/user/app/app.py", line 3, in <module> from functions import extract_text, summarize_text, generate_question, get_answer_context, answer_question File "/home/user/app/functions.py", line 292, in <module> model, tokenizer = load_model("hackathon-somos-nlp-2023/opt-6.7b-lora-sag-t14000-v1400-v1") File "/home/user/app/functions.py", line 264, in load_model config = PeftConfig.from_pretrained(peft_model_id) File "/usr/local/lib/python3.10/site-packages/peft/config.py", line 151, in from_pretrained return cls.from_peft_type(**kwargs) File "/usr/local/lib/python3.10/site-packages/peft/config.py", line 118, in from_peft_type return config_cls(**kwargs) TypeError: LoraConfig.__init__() got an unexpected keyword argument 'enable_lora'

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