--- library_name: transformers tags: - argumentation license: apache-2.0 language: - en pipeline_tag: text-generation --- # ADBL2-Mistral-7B ADBL2-Mistral-7B is an fine-tuned version of Mistral-7B-v0.1 trained to perform relation-based argument mining. Giving two arguments *x* and *y*, we use this model in synergy with [LMQL](https://lmql.ai/) to predict wether *y* is attacking or supporting *x*. ## Fine-tuning We fine-tunde [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) using the PEFT method [QLoRA](https://arxiv.org/abs/2305.14314) and argument pairs coming from the online debate tool [Kialo](https://www.kialo.com/). ## Prompt format This model has been trained to complete this prompt format: ``` [INST] Argument 1 : /*Argument 1*/ Argument 2 : /*Argument 2*/ [/INST] Relation : ``` by the relation **attack** or **support** ``` Relation : attack/support ``` ### Example : Giving two arguments, where argument 2 is attacking the argument 1, : - Argument 1 : using machines is advantageous - Argument 2 : the usage of machines is harmful for health of humans The prompt to retrieve the relation between the second and the first argument should be : ``` [INST] Argument 1 : using machines is advantageous Argument 2 : the usage of machines is harmful for health of humans [/INST] Relation : ``` Our model should complete this prompt this way : ``` [INST] Argument 1 : using machines is advantageous Argument 2 : the usage of machines is harmful for health of humans [/INST] Relation : attack ```