> ## Documentation Index > Fetch the complete documentation index at: https://docs.inference.net/llms.txt > Use this file to discover all available pages before exploring further. # After Training Completes > What you get when training finishes and how to evaluate the result before deploying. When training completes, you get a registered model artifact that's ready to deploy. No manual promotion step — it goes straight from "done" to "deployable." ## What you see * **Final eval results** — the trained model's scores on your eval dataset, compared against the baseline from before training started * **Model artifact** — registered in the platform and visible on the **Models** page * **Deploy button** — appears on the training details page and on your model's row in the Models page Completed training run with final eval results and Deploy button ## Is it actually better? Compare the trained model's final eval scores against the off-the-shelf models you benchmarked earlier in [Eval](/platform/eval/overview). If the trained model scores higher on your rubric, it's ready to deploy. If not, you may need to iterate on your training data or recipe. ## Next steps Ship it to a dedicated GPU. If training failed or results aren't what you expected.