> ## Documentation Index
> Fetch the complete documentation index at: https://docs.finetunedb.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Fine-Tuning
> Fine-tune open-source and proprietary LLMs straight from the FinetuneDB platform using production logs or uploaded datasets for a streamlined fine-tuning process.
## Fine-tuning Step-by-Step
FinetuneDB allows you to train, evaluate, and deploy your models all within one platform. Follow these steps to fine-tune a new model:
1. **Select a Dataset:** Start by creating a new dataset or selecting an existing one.
2. **Initiate Fine-tuning:** Click “Fine-tune model" in the dataset overview or in the editor interface.
3. **Select a Base Model:** Choose the base model for fine-tuning.
4. **Configure Settings:** Optionally adjust hyperparameters such as epochs, batch size, and learning rate multiplier.
5. **Start Training:** Click “Deploy” to begin the fine-tuning process.
The training duration can range from a few minutes to several hours, depending on the model size and data volume.
You will receive a notification on the platform once the training is complete.
