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The Fine-Tuning screen is where you create training jobs, watch their progress, and get to their outputs. For the concepts behind it, see the Fine-tune a model guide.
Valkyrie Fine-Tuning Jobs screen

The Fine-Tuning Jobs list.

Each job card shows its base model, dataset, key training settings (epochs, batch size), status, and a View job link for logs and outputs.

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Create a job

1

Start a new job

Choose the open base model to fine-tune and the dataset to train on.
2

Launch

Valkyrie schedules the job, provisions a GPU, and runs the training.

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Monitor

Jobs show their current state as they progress:
You can stream logs while a job runs to follow training progress.

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Outputs and next steps

When a job completes, open it to:
  • Download outputs (trained weights or adapters) via temporary signed URLs.
  • Deploy the fine-tuned model directly to a serving endpoint.

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Recover a failed job

Because jobs run on ephemeral cloud GPUs, transient failures happen. Use retry or recover to reschedule a job onto fresh hardware without recreating it.