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docs/api/core.trainers.dpo.trainer.html
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</thead>
<tbody>
<tr class="odd">
<td><a href="#axolotl.core.trainers.dpo.trainer.AxolotlDPOTrainer.evaluation_loop">evaluation_loop</a></td>
<td>Overriding built-in evaluation loop to store metrics for each batch.</td>
</tr>
<tr class="even">
<td><a href="#axolotl.core.trainers.dpo.trainer.AxolotlDPOTrainer.push_to_hub">push_to_hub</a></td>
<td>Overwrite the <code>push_to_hub</code> method in order to force-add the tags when pushing the</td>
</tr>
</tbody>
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<section id="axolotl.core.trainers.dpo.trainer.AxolotlDPOTrainer.evaluation_loop" class="level5">
<h5 class="anchored" data-anchor-id="axolotl.core.trainers.dpo.trainer.AxolotlDPOTrainer.evaluation_loop">evaluation_loop</h5>
<div class="sourceCode" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>core.trainers.dpo.trainer.AxolotlDPOTrainer.evaluation_loop(</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a> dataloader,</span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a> description,</span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a> prediction_loss_only<span class="op">=</span><span class="va">None</span>,</span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a> ignore_keys<span class="op">=</span><span class="va">None</span>,</span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a> metric_key_prefix<span class="op">=</span><span class="st">'eval'</span>,</span>
<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>Overriding built-in evaluation loop to store metrics for each batch.
Prediction/evaluation loop, shared by <code>Trainer.evaluate()</code> and <code>Trainer.predict()</code>.</p>
<p>Works both with or without labels.</p>
</section>
<section id="axolotl.core.trainers.dpo.trainer.AxolotlDPOTrainer.push_to_hub" class="level5">
<h5 class="anchored" data-anchor-id="axolotl.core.trainers.dpo.trainer.AxolotlDPOTrainer.push_to_hub">push_to_hub</h5>
<div class="sourceCode" id="cb2"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>core.trainers.dpo.trainer.AxolotlDPOTrainer.push_to_hub(<span class="op">*</span>args, <span class="op">**</span>kwargs)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="sourceCode" id="cb3"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>core.trainers.dpo.trainer.AxolotlDPOTrainer.push_to_hub(<span class="op">*</span>args, <span class="op">**</span>kwargs)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>Overwrite the <code>push_to_hub</code> method in order to force-add the tags when pushing the
model on the Hub. Please refer to <code>~transformers.Trainer.push_to_hub</code> for more details.</p>

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search.json
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"text": "core.trainers.dpo.trainer\nDPO trainer for axolotl\n\n\n\n\n\nName\nDescription\n\n\n\n\nAxolotlDPOTrainer\nExtend the base DPOTrainer for axolotl helpers\n\n\n\n\n\ncore.trainers.dpo.trainer.AxolotlDPOTrainer(\n self,\n *args,\n dataset_tags=None,\n **kwargs,\n)\nExtend the base DPOTrainer for axolotl helpers\n\n\n\n\n\nName\nDescription\n\n\n\n\nevaluation_loop\nOverriding built-in evaluation loop to store metrics for each batch.\n\n\npush_to_hub\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\n\n\n\n\n\ncore.trainers.dpo.trainer.AxolotlDPOTrainer.evaluation_loop(\n dataloader,\n description,\n prediction_loss_only=None,\n ignore_keys=None,\n metric_key_prefix='eval',\n)\nOverriding built-in evaluation loop to store metrics for each batch.\nPrediction/evaluation loop, shared by Trainer.evaluate() and Trainer.predict().\nWorks both with or without labels.\n\n\n\ncore.trainers.dpo.trainer.AxolotlDPOTrainer.push_to_hub(*args, **kwargs)\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\nmodel on the Hub. Please refer to ~transformers.Trainer.push_to_hub for more details."
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"text": "Name\nDescription\n\n\n\n\nAxolotlDPOTrainer\nExtend the base DPOTrainer for axolotl helpers\n\n\n\n\n\ncore.trainers.dpo.trainer.AxolotlDPOTrainer(\n self,\n *args,\n dataset_tags=None,\n **kwargs,\n)\nExtend the base DPOTrainer for axolotl helpers\n\n\n\n\n\nName\nDescription\n\n\n\n\npush_to_hub\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\n\n\n\n\n\ncore.trainers.dpo.trainer.AxolotlDPOTrainer.push_to_hub(*args, **kwargs)\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\nmodel on the Hub. Please refer to ~transformers.Trainer.push_to_hub for more details."
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