> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nx1cloud.com/llms.txt
> Use this file to discover all available pages before exploring further.

# View a training job

> View a training job to see its status, base model, and registered model.

You can view a training job to see how far training has progressed and which model it produced.

## Prerequisites

Before starting this task, ensure you have the following:

* Required roles: `nx1_finetune_admin`, `nx1_finetune_user`, or `nx1_engineer`.
* A previously created training job.

> [!NOTE]
>
> You see only the training jobs you created. Users with the `nx1_finetune_admin` role see all training jobs.

## View a training job

> [tab] Web portal
>
> Perform these steps to view a training job:
>
> 1. Log in to NexusOne.
>
> 2. On the top navigation bar, hover your mouse over **AI** and then select **AutoML & AutoLLM**.
>
> 3. Click **Fine-tune LLMs (AutoLLM)**.
>
> 4. Click **Training**. You are going to see a table of training jobs.
>
> 5. Find the training job you want to view. The table has the following columns:
>
>    * **Name**
>    * **Domain**
>    * **Base model**
>    * **Adapter**
>    * **Registered model**: Stays empty until training finishes
>    * **Status**
>
> 6. Optional: To open the training job in Airflow, click the three dots at the end of its row and select
>    **Open in Airflow**. This is useful when you troubleshoot a failed training job.

> [tab] REST API
>
> Use the following API endpoints to view training jobs:
>
> * [List fine-tune training jobs](https://docs.nx1cloud.com/api-reference/endpoints/autollm/list-fine-tune-training-jobs.md)
> * [Get a fine-tune training job](https://docs.nx1cloud.com/api-reference/endpoints/autollm/get-a-fine-tune-training-job.md)

## Training job statuses

A training job has one of the following statuses:

* `ready`: NexusOne created the training job but hasn't started it.
* `starting`: NexusOne triggered the training job and is waiting for Airflow to pick it up.
* `running`: Training is in progress.
* `complete`: Training finished and NexusOne registered the adapter in MLflow.
* `failed`: Training failed.

## Additional resources

For a high-level overview of training jobs and how they're used in NexusOne, refer to
[Fine-tune LLM](https://docs.nx1cloud.com/documentation/ai/overview/automl/fine-tune-llm.md#training).


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