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docs/api/core.trainers.base.html
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@@ -511,10 +511,6 @@ pre > code.sourceCode > span > a:first-child::before { text-decoration: underlin
<td><a href="#axolotl.core.trainers.base.AxolotlTrainer.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>
<tr class="odd">
<td><a href="#axolotl.core.trainers.base.AxolotlTrainer.training_step">training_step</a></td>
<td>Perform a training step on a batch of inputs. Overrides the</td>
</tr>
</tbody>
</table>
<section id="axolotl.core.trainers.base.AxolotlTrainer.get_eval_dataloader" class="level5">
@@ -570,49 +566,6 @@ pre > code.sourceCode > span > a:first-child::before { text-decoration: underlin
<div class="sourceCode" id="cb5"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>core.trainers.base.AxolotlTrainer.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>
</section>
<section id="axolotl.core.trainers.base.AxolotlTrainer.training_step" class="level5">
<h5 class="anchored" data-anchor-id="axolotl.core.trainers.base.AxolotlTrainer.training_step">training_step</h5>
<div class="sourceCode" id="cb6"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>core.trainers.base.AxolotlTrainer.training_step(</span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a> model,</span>
<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a> inputs,</span>
<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a> num_items_in_batch<span class="op">=</span><span class="va">None</span>,</span>
<span id="cb6-5"><a href="#cb6-5" 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>Perform a training step on a batch of inputs. Overrides the
<code>transformers.trainer.Trainer</code> method to handle sequence parallelism if
enabled.</p>
<section id="parameters-1" class="level6 doc-section doc-section-parameters">
<h6 class="doc-section doc-section-parameters anchored" data-anchor-id="parameters-1">Parameters</h6>
<table class="caption-top table">
<colgroup>
<col style="width: 8%">
<col style="width: 37%">
<col style="width: 40%">
<col style="width: 13%">
</colgroup>
<thead>
<tr class="header">
<th>Name</th>
<th>Type</th>
<th>Description</th>
<th>Default</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>model</td>
<td>nn.Module</td>
<td>Model to perform training step for.</td>
<td><em>required</em></td>
</tr>
<tr class="even">
<td>inputs</td>
<td>dict[str, torch.Tensor | Any]</td>
<td>Dictionary mapping.</td>
<td><em>required</em></td>
</tr>
</tbody>
</table>
</section>
@@ -620,7 +573,6 @@ enabled.</p>
</section>
</section>
</section>
</section>
</main> <!-- /main -->
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"text": "core.trainers.base\nModule for customized trainers\n\n\n\n\n\nName\nDescription\n\n\n\n\nAxolotlTrainer\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer(\n self,\n *_args,\n bench_data_collator=None,\n eval_data_collator=None,\n dataset_tags=None,\n **kwargs,\n)\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\nName\nDescription\n\n\n\n\nget_eval_dataloader\nGet dataloader for evaluation\n\n\nget_train_dataloader\nGet dataloader for training\n\n\nlog\nLog logs on the various objects watching training, including stored metrics.\n\n\npush_to_hub\nOverwrite the push_to_hub method in order to force-add the tags when pushing the\n\n\ntraining_step\nPerform a training step on a batch of inputs. Overrides the\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.get_eval_dataloader(eval_dataset=None)\nGet dataloader for evaluation\n\n\n\ncore.trainers.base.AxolotlTrainer.get_train_dataloader()\nGet dataloader for training\n\n\n\ncore.trainers.base.AxolotlTrainer.log(logs, start_time=None)\nLog logs on the various objects watching training, including stored metrics.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nlogs\ndict[str, float]\nThe values to log.\nrequired\n\n\nstart_time\nfloat | None\nThe start of training.\nNone\n\n\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.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.\n\n\n\ncore.trainers.base.AxolotlTrainer.training_step(\n model,\n inputs,\n num_items_in_batch=None,\n)\nPerform a training step on a batch of inputs. Overrides the\ntransformers.trainer.Trainer method to handle sequence parallelism if\nenabled.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nmodel\nnn.Module\nModel to perform training step for.\nrequired\n\n\ninputs\ndict[str, torch.Tensor | Any]\nDictionary mapping.\nrequired"
"text": "core.trainers.base\nModule for customized trainers\n\n\n\n\n\nName\nDescription\n\n\n\n\nAxolotlTrainer\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer(\n self,\n *_args,\n bench_data_collator=None,\n eval_data_collator=None,\n dataset_tags=None,\n **kwargs,\n)\nExtend the base Trainer for axolotl helpers\n\n\n\n\n\nName\nDescription\n\n\n\n\nget_eval_dataloader\nGet dataloader for evaluation\n\n\nget_train_dataloader\nGet dataloader for training\n\n\nlog\nLog logs on the various objects watching training, including stored metrics.\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.base.AxolotlTrainer.get_eval_dataloader(eval_dataset=None)\nGet dataloader for evaluation\n\n\n\ncore.trainers.base.AxolotlTrainer.get_train_dataloader()\nGet dataloader for training\n\n\n\ncore.trainers.base.AxolotlTrainer.log(logs, start_time=None)\nLog logs on the various objects watching training, including stored metrics.\n\n\n\n\n\n\n\n\n\n\n\nName\nType\nDescription\nDefault\n\n\n\n\nlogs\ndict[str, float]\nThe values to log.\nrequired\n\n\nstart_time\nfloat | None\nThe start of training.\nNone\n\n\n\n\n\n\n\ncore.trainers.base.AxolotlTrainer.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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