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docs/api/prompt_strategies.stepwise_supervised.html
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@@ -507,13 +507,12 @@ and (optionally) per-step, or per-prompt-trace labels for reward modelling.</p>
<section id="axolotl.prompt_strategies.stepwise_supervised.StepwiseSupervisedPromptTokenizingStrategy" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.prompt_strategies.stepwise_supervised.StepwiseSupervisedPromptTokenizingStrategy">StepwiseSupervisedPromptTokenizingStrategy</h3>
<div class="sourceCode" id="cb1"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>prompt_strategies.stepwise_supervised.StepwiseSupervisedPromptTokenizingStrategy(</span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a> <span class="va">self</span>,</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a> tokenizer,</span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a> sequence_len<span class="op">=</span><span class="dv">2048</span>,</span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a> step_separator<span class="op">=</span><span class="st">'</span><span class="ch">\n</span><span class="st">'</span>,</span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a> max_completion_length<span class="op">=</span><span class="va">None</span>,</span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a> train_on_last_step_only<span class="op">=</span><span class="va">False</span>,</span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a> tokenizer,</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a> sequence_len<span class="op">=</span><span class="dv">2048</span>,</span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a> step_separator<span class="op">=</span><span class="st">'</span><span class="ch">\n</span><span class="st">'</span>,</span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a> max_completion_length<span class="op">=</span><span class="va">None</span>,</span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a> train_on_last_step_only<span class="op">=</span><span class="va">False</span>,</span>
<span id="cb1-7"><a href="#cb1-7" 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>Tokenizing strategy for supervised stepwise datasets, typically used for COT-reasoning.
These datasets should include the following columns:
- prompt: the prompt text