> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/ai-factory-guideline-jp/fpt-ai-studio/sbisu/moderutesuto-tesutojobu/chtoriaru/moderuno.md).

# モデルの評価方法

## 実行履歴

実行履歴は、選択したモデルのすべてのテスト実行の詳細なログを提供します。

<figure><img src="https://fptcloud.com/wp-content/uploads/2025/09/Run-history.png" alt=""><figcaption></figcaption></figure>

#### 注意：履歴の各レコードには、ジョブが開始された時刻が表示されます

## 実行詳細

実行詳細ページでは、ファインチューニングジョブに関する包括的な概要を確認できます。これには\
メタデータ、設定、メトリクスが含まれます。

![](https://fptcloud.com/wp-content/uploads/2025/09/Run-details.png)

以下を確認できます：

* 入力: テストの入力データ。例えば、質問応答タスクにおける質問。
* Ground Truth: 各入力に対応する正解（ラベル）。予測結果との比較に使用される。
* 出力: モデルが入力に基づいて生成する回答。
* メトリクス：出力とグラウンドトゥルースの比較に基づいて算出される指標。


---

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