Starting the Ch

--- title: Starting the Chat Fine-Tuning Run slug: v2/docs/chat-starting-the-training hidden: false description: Learn how to fine-tune a Command model for chat with the Cohere Web UI or Python SDK, including data requirements, pricing, and calling your model. keywords: fine-tuning, fine-tuning language models createdAt: Fri Nov 10 2023 18:22:10 GMT+0000 (Coordinated Universal Time) updatedAt: Wed Jun 12 2024 00:17:37 GMT+0000 (Coordinated Universal Time) For clean Markdown of any page, append .md to the page URL. For a complete documentation index, see https://docs.cohere.com/docs/llms.txt. For full documentation content, see https://docs.cohere.com/docs/llms-full.txt. In this section, we will walk through how you can start training a fine-tuning model for Chat on both the Web UI and the Python SDK. Cohere Dashboard Fine-tuning of the Command family of models for Chat with the Web UI consists of a few simple steps, which we'll walk through now. Choose the Chat Option Go to the fine-tuning page and click on 'Create a Chat model'. Upload Your Data Upload your custom dataset data by going to 'Training data' and clicking on the upload file button. Your data should be in `jsonl` format. Upload your training data by clicking on the `TRAINING SET` button at the bottom of the page, and if you want to upload a validation set you can do that with the `VALIDATION SET` button. Your data has to be in a `.jsonl` file, where each `json` object is a conversation with the following structure: ```json { "messages": { "role": "system", "content": "You are a chatbot trained to answer to my every question." }, { "role": "user", "content": "Hello" }, { "role": "chatbot", "content": "Greetings! How can I help you?" }, ... } ``` We require a minimum of two valid conversations to begin training. Currently, users are allowed to upload either a single train file, or a train file along with an eval