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  556. <a href="https://github.com/princeton-nlp/SWE-agent/edit/main/docs/usage/benchmarking.md" title="Edit this page" class="md-content__button md-icon">
  557. <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M10 20H6V4h7v5h5v3.1l2-2V8l-6-6H6c-1.1 0-2 .9-2 2v16c0 1.1.9 2 2 2h4zm10.2-7c.1 0 .3.1.4.2l1.3 1.3c.2.2.2.6 0 .8l-1 1-2.1-2.1 1-1c.1-.1.2-.2.4-.2m0 3.9L14.1 23H12v-2.1l6.1-6.1z"/></svg>
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  559. <h1 id="benchmarking">Benchmarking</h1>
  560. <div class="admonition note">
  561. <p class="admonition-title">Scope</p>
  562. <p>This page talks about benchmarking on SWE-bench to measure the software engineering capabilities of SWE-agent.
  563. Benchmarking for the other modes (programming challenges, cybersecurity) are coming soon.</p>
  564. </div>
  565. <p>There are two steps to the SWE-agent/SWE-bench pipeline. First SWE-agent takes an input GitHub issue and returns a pull request that attempts to fix it. We call that step <em>inference</em>. The second step (currently only available for issues in the SWE-bench benchmark) is to <em>evaluate</em> the pull request to verify that it has indeed fixed the issue.</p>
  566. <div class="admonition warning">
  567. <p class="admonition-title">Architectures</p>
  568. <p>At this moment, there are known issues with a small number of repositories that don't install properly for <code>arm64</code> / <code>aarch64</code> architecture computers. We're working on a fix, but if you'd like to run and evaluate on the entirety of SWE-bench, the easiest way is by using an <code>x86</code> machine.</p>
  569. </div>
  570. <h2 id="inference">👩‍💻 Inference <a name="inference"></a></h2>
  571. <p>Run SWE-agent on <a href="https://www.swebench.com/lite.html">SWE-bench Lite</a> and generate patches.</p>
  572. <div class="highlight"><pre><span></span><code>python<span class="w"> </span>run.py<span class="w"> </span>--model_name<span class="w"> </span>gpt4<span class="w"> </span><span class="se">\</span>
  573. <span class="w"> </span>--per_instance_cost_limit<span class="w"> </span><span class="m">2</span>.00<span class="w"> </span><span class="se">\</span>
  574. <span class="w"> </span>--config_file<span class="w"> </span>./config/default.yaml
  575. </code></pre></div>
  576. <p>If you'd like to run on a <em>single</em> issue from SWE-bench, use the <code>--instance_filter</code> option as follows:
  577. <div class="highlight"><pre><span></span><code>python<span class="w"> </span>run.py<span class="w"> </span>--model_name<span class="w"> </span>gpt4<span class="w"> </span><span class="se">\</span>
  578. <span class="w"> </span>--instance_filter<span class="w"> </span>marshmallow-code__marshmallow-1359
  579. </code></pre></div></p>
  580. <p>The above examples use the default value of <code>--data_path</code> (<code>princeton-nlp/SWE-bench_Lite</code>, which will be looked up from huggingface).
  581. You can specify any other huggingface datasets as well, or supply the path to a pre-downloaded dataset.
  582. By default, SWE-agent evaluates on the <code>dev</code> split of that dataset.
  583. You can change that by supplying the <code>--split</code> argument to the above commands (obviously you shouldn't tune your model on the <code>test</code> dataset).</p>
  584. <h2 id="evaluation">🧪 Evaluation <a name="evaluation"></a></h2>
  585. <div class="admonition note">
  586. <p class="admonition-title">Previous <code>evaluation/</code> scripts</p>
  587. <p>We have removed the scripts that were previously in the <code>evaluation/</code> subfolder.
  588. They were relatively thin wrappers around <code>swe-bench</code>. After the <code>swe-bench</code> 2.0 update, we recommend to use <code>swe-bench</code> directly.</p>
  589. </div>
  590. <p>You can directly run SWE-bench to evaluate the SWE-agent results.</p>
  591. <p>After installing SWE-bench, you can run <code>run_evaluation</code> as such:</p>
  592. <div class="highlight"><pre><span></span><code>python<span class="w"> </span>-m<span class="w"> </span>swebench.harness.run_evaluation<span class="w"> </span><span class="se">\</span>
  593. <span class="w"> </span>--predictions_path<span class="w"> </span>/path/to/all_preds.jsonl<span class="w"> </span><span class="se">\</span>
  594. <span class="w"> </span>--max_workers<span class="w"> </span><span class="m">1</span><span class="w"> </span><span class="se">\</span>
  595. <span class="w"> </span>--run_id<span class="w"> </span><span class="nb">test</span><span class="w"> </span><span class="se">\</span>
  596. <span class="w"> </span>--split<span class="w"> </span>dev
  597. </code></pre></div>
  598. <p>Head over to <a href="https://github.com/princeton-nlp/SWE-bench/">SWE-bench</a> for details.</p>
  599. <div class="admonition note">
  600. <p class="admonition-title">Default split</p>
  601. <p>When running <code>swe-agent</code> it uses the SWE-bench lite <code>dev</code> split by default (i.e., when not specifying <code>--data_path</code> or <code>--split</code>).
  602. However, <code>swe-bench</code> assumes the SWE-bench lite <code>test</code> split by default.
  603. When you get warnings from <code>swe-bench</code> about missing instances, make sure you specify <code>--split test</code> or <code>--split dev</code> appropriately.</p>
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