> ## Documentation Index
> Fetch the complete documentation index at: https://docs.flex.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Monitoring a Fine-tuning Job's Progress

> Monitor your fine-tuning job's progress with logs and metrics

## Logs

<Tabs>
  <Tab title="Using the FlexAI Console">
    You can select the gear icon ⚙️ (labeled as *Configure*) in the `Actions` field of the Training or Fine-tuning Jobs list page. This will open a "Details" panel.

    Select the **Logs** tab to view the messages emitted to the standard output (`stdout`) created by the runtime environment build process and your own code.

    You can use the **Search bar** input field to filter the logs by a specific keyword. This is useful to quickly find relevant information in the logs.
  </Tab>

  <Tab title="Using the FlexAI CLI">
    Once a Training Job begins, logs emitted to the standard output (`stdout`) created by the runtime environment build process and your own code can be retrieved by running the [`flexai training logs`](/cli/reference/training/logs) command:

    ```bash theme={null}
    flexai training logs quickstart-training-job
    ```

    This will output a stream of logs including both the FlexAI runtime execution logs and your code's messages.
  </Tab>
</Tabs>

## Infrastructure Metrics

You can monitor the infrastructure metrics of your Fine-tuning Job using the FlexAI Infrastructure Monitor. This will give you insights into the resource usage of your Fine-tuning Job, such as CPU and memory usage, disk I/O, and network traffic.

Access FlexAI's Infrastructure Monitor by visiting [https://dashboards.flex.ai/](https://dashboards.flex.ai/). Visit the [FlexAI Infrastructure Monitor](/platform-services/observability/infrastructure-monitor/) page to learn more.

## TensorBoard

You can also use FlexAI's hosted TensorBoard to visualize the fine-tuning process of your model. TensorBoard provides a suite of tools for inspecting and understanding your Fine-tuning Job's evolution.

Visit [https://dashboards.flex.ai/tensorboard](https://dashboards.flex.ai/tensorboard) and log in using your credentials. Learn more at the [FlexAI TensorBoard](/platform-services/observability/tensorboard/) page.

## Next Steps

After a few minutes, your Fine-tuning Job should have completed successfully!

The next step of this Quickstart Tutorial will guide you through the process of getting its outputs or *results*.