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@@ -530,7 +530,7 @@ sequence parallel group.</p>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a> rank,</span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a> batch_size<span class="op">=</span><span class="dv">1</span>,</span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a> repeat_count<span class="op">=</span><span class="dv">1</span>,</span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a> sequence_parallel_degree<span class="op">=</span><span class="dv">1</span>,</span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a> context_parallel_size<span class="op">=</span><span class="dv">1</span>,</span>
<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a> shuffle<span class="op">=</span><span class="va">True</span>,</span>
<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a> seed<span class="op">=</span><span class="dv">0</span>,</span>
<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a> drop_last<span class="op">=</span><span class="va">False</span>,</span>
@@ -542,7 +542,7 @@ sequence parallel group.</p>
- Entire batches are repeated for reuse in multiple updates.
- Data is properly distributed across SP groups.</p>
<p>In the table below, the values represent dataset indices. Each SP group has
<code>sequence_parallel_degree = 2</code> GPUs working together on the same data. There are 2
<code>context_parallel_size = 2</code> GPUs working together on the same data. There are 2
SP groups (SP0 and SP1), with <code>world_size = 4</code> total GPUs.</p>
<pre><code> Sequence Parallel Groups
| SP0 | SP1 |
@@ -561,9 +561,9 @@ num_iterations=2 ▼ 1 3 [0 0 0 1 1 1] [2 2 2 3 3 3] &lt;- When using gradient a
<h4 class="doc-section doc-section-parameters anchored" data-anchor-id="parameters">Parameters</h4>
<table class="caption-top table">
<colgroup>
<col style="width: 26%">
<col style="width: 23%">
<col style="width: 8%">
<col style="width: 53%">
<col style="width: 55%">
<col style="width: 12%">
</colgroup>
<thead>
@@ -612,7 +612,7 @@ num_iterations=2 ▼ 1 3 [0 0 0 1 1 1] [2 2 2 3 3 3] &lt;- When using gradient a
<td><code>1</code></td>
</tr>
<tr class="odd">
<td>sequence_parallel_degree</td>
<td>context_parallel_size</td>
<td>int</td>
<td>Number of ranks in a sequence parallel group.</td>
<td><code>1</code></td>

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<li><a href="#axolotl.core.trainers.relora" id="toc-axolotl.core.trainers.relora" class="nav-link active" data-scroll-target="#axolotl.core.trainers.relora">core.trainers.relora</a>
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<section id="axolotl.core.trainers.relora" class="level1">
<h1>core.trainers.relora</h1>
<p><code>core.trainers.relora</code></p>
<p>Module for ReLoRA trainer</p>
<section id="classes" class="level2">
<h2 class="anchored" data-anchor-id="classes">Classes</h2>
<table class="caption-top table">
<thead>
<tr class="header">
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td><a href="#axolotl.core.trainers.relora.ReLoRATrainer">ReLoRATrainer</a></td>
<td>Trainer subclass that uses the <code>OneCycleLR</code> scheduler</td>
</tr>
</tbody>
</table>
<section id="axolotl.core.trainers.relora.ReLoRATrainer" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.core.trainers.relora.ReLoRATrainer">ReLoRATrainer</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>core.trainers.relora.ReLoRATrainer(<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>Trainer subclass that uses the <code>OneCycleLR</code> scheduler</p>
</section>
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</body></html>

View File

@@ -663,22 +663,18 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<td>Module for mamba trainer</td>
</tr>
<tr class="even">
<td><a href="../../docs/api/core.trainers.relora.html#axolotl.core.trainers.relora">core.trainers.relora</a></td>
<td>Module for ReLoRA trainer</td>
</tr>
<tr class="odd">
<td><a href="../../docs/api/core.trainers.dpo.trainer.html#axolotl.core.trainers.dpo.trainer">core.trainers.dpo.trainer</a></td>
<td>DPO trainer for axolotl</td>
</tr>
<tr class="even">
<tr class="odd">
<td><a href="../../docs/api/core.trainers.grpo.trainer.html#axolotl.core.trainers.grpo.trainer">core.trainers.grpo.trainer</a></td>
<td>Axolotl GRPO trainers (with and without sequence parallelism handling)</td>
</tr>
<tr class="odd">
<tr class="even">
<td><a href="../../docs/api/core.trainers.grpo.sampler.html#axolotl.core.trainers.grpo.sampler">core.trainers.grpo.sampler</a></td>
<td>Repeat random sampler (similar to the one implemented in</td>
</tr>
<tr class="even">
<tr class="odd">
<td><a href="../../docs/api/core.trainers.utils.html#axolotl.core.trainers.utils">core.trainers.utils</a></td>
<td>Utils for Axolotl trainers</td>
</tr>

View File

@@ -487,7 +487,6 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<li><a href="#classes" id="toc-classes" class="nav-link" data-scroll-target="#classes">Classes</a>
<ul class="collapse">
<li><a href="#axolotl.monkeypatch.relora.ReLoRACallback" id="toc-axolotl.monkeypatch.relora.ReLoRACallback" class="nav-link" data-scroll-target="#axolotl.monkeypatch.relora.ReLoRACallback">ReLoRACallback</a></li>
<li><a href="#axolotl.monkeypatch.relora.ReLoRAScheduler" id="toc-axolotl.monkeypatch.relora.ReLoRAScheduler" class="nav-link" data-scroll-target="#axolotl.monkeypatch.relora.ReLoRAScheduler">ReLoRAScheduler</a></li>
</ul></li>
</ul></li>
</ul>
@@ -517,28 +516,12 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<td><a href="#axolotl.monkeypatch.relora.ReLoRACallback">ReLoRACallback</a></td>
<td>Callback to merge LoRA weights into the base model and save full-weight checkpoints</td>
</tr>
<tr class="even">
<td><a href="#axolotl.monkeypatch.relora.ReLoRAScheduler">ReLoRAScheduler</a></td>
<td>Wraps another scheduler to apply per-lora-restart learning rate warmups.</td>
</tr>
</tbody>
</table>
<section id="axolotl.monkeypatch.relora.ReLoRACallback" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.monkeypatch.relora.ReLoRACallback">ReLoRACallback</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>monkeypatch.relora.ReLoRACallback(cfg)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>Callback to merge LoRA weights into the base model and save full-weight checkpoints</p>
</section>
<section id="axolotl.monkeypatch.relora.ReLoRAScheduler" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.monkeypatch.relora.ReLoRAScheduler">ReLoRAScheduler</h3>
<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>monkeypatch.relora.ReLoRAScheduler(</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a> inner_schedule,</span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a> relora_steps,</span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a> warmup_steps,</span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a> anneal_steps<span class="op">=</span><span class="dv">1</span>,</span>
<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a> min_lr_scale<span class="op">=</span><span class="fl">0.001</span>,</span>
<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>Wraps another scheduler to apply per-lora-restart learning rate warmups.</p>
</section>

View File

@@ -696,7 +696,7 @@ from the full gradient tensor.</p>
<h3 class="anchored" data-anchor-id="axolotl.utils.ctx_managers.sequence_parallel.SequenceParallelContextManager">SequenceParallelContextManager</h3>
<div class="sourceCode" id="cb4"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>utils.ctx_managers.sequence_parallel.SequenceParallelContextManager(</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a> models,</span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a> sequence_parallel_degree,</span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a> context_parallel_size,</span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a> gradient_accumulation_steps,</span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a> ring_attn_func,</span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a> heads_k_stride,</span>
@@ -731,7 +731,7 @@ across the sequence parallelism group using a post-forward hook.</p>
<td><em>required</em></td>
</tr>
<tr class="even">
<td>sequence_parallel_degree</td>
<td>context_parallel_size</td>
<td>int</td>
<td>Number of processes to split sequences over.</td>
<td><em>required</em></td>

View File

@@ -487,6 +487,7 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<li><a href="#classes" id="toc-classes" class="nav-link" data-scroll-target="#classes">Classes</a>
<ul class="collapse">
<li><a href="#axolotl.utils.schedulers.InterpolatingLogScheduler" id="toc-axolotl.utils.schedulers.InterpolatingLogScheduler" class="nav-link" data-scroll-target="#axolotl.utils.schedulers.InterpolatingLogScheduler">InterpolatingLogScheduler</a></li>
<li><a href="#axolotl.utils.schedulers.JaggedLRRestartScheduler" id="toc-axolotl.utils.schedulers.JaggedLRRestartScheduler" class="nav-link" data-scroll-target="#axolotl.utils.schedulers.JaggedLRRestartScheduler">JaggedLRRestartScheduler</a></li>
<li><a href="#axolotl.utils.schedulers.RexLR" id="toc-axolotl.utils.schedulers.RexLR" class="nav-link" data-scroll-target="#axolotl.utils.schedulers.RexLR">RexLR</a></li>
</ul></li>
<li><a href="#functions" id="toc-functions" class="nav-link" data-scroll-target="#functions">Functions</a>
@@ -524,6 +525,10 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<td>A scheduler that interpolates learning rates in a logarithmic fashion</td>
</tr>
<tr class="even">
<td><a href="#axolotl.utils.schedulers.JaggedLRRestartScheduler">JaggedLRRestartScheduler</a></td>
<td>Wraps another scheduler to apply per-lora-restart learning rate warmups.</td>
</tr>
<tr class="odd">
<td><a href="#axolotl.utils.schedulers.RexLR">RexLR</a></td>
<td>Reflected Exponential (REX) learning rate scheduler.</td>
</tr>
@@ -540,16 +545,28 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<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>A scheduler that interpolates learning rates in a logarithmic fashion</p>
</section>
<section id="axolotl.utils.schedulers.JaggedLRRestartScheduler" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.utils.schedulers.JaggedLRRestartScheduler">JaggedLRRestartScheduler</h3>
<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>utils.schedulers.JaggedLRRestartScheduler(</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a> inner_schedule,</span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a> jagged_restart_steps,</span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a> jagged_restart_warmup_steps,</span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a> jagged_restart_anneal_steps<span class="op">=</span><span class="dv">1</span>,</span>
<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a> min_lr_scale<span class="op">=</span><span class="fl">0.001</span>,</span>
<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>Wraps another scheduler to apply per-lora-restart learning rate warmups.</p>
</section>
<section id="axolotl.utils.schedulers.RexLR" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.utils.schedulers.RexLR">RexLR</h3>
<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>utils.schedulers.RexLR(</span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a> max_lr,</span>
<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a> min_lr,</span>
<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a> total_steps<span class="op">=</span><span class="dv">0</span>,</span>
<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a> num_warmup_steps<span class="op">=</span><span class="dv">0</span>,</span>
<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a> last_step<span class="op">=</span><span class="dv">0</span>,</span>
<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<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>utils.schedulers.RexLR(</span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a> max_lr,</span>
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a> min_lr,</span>
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a> total_steps<span class="op">=</span><span class="dv">0</span>,</span>
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a> num_warmup_steps<span class="op">=</span><span class="dv">0</span>,</span>
<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a> last_step<span class="op">=</span><span class="dv">0</span>,</span>
<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>Reflected Exponential (REX) learning rate scheduler.</p>
<ul>
<li>Original implementation: https://github.com/IvanVassi/REX_LR</li>
@@ -641,12 +658,12 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
</table>
<section id="axolotl.utils.schedulers.get_cosine_schedule_with_min_lr" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.utils.schedulers.get_cosine_schedule_with_min_lr">get_cosine_schedule_with_min_lr</h3>
<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>utils.schedulers.get_cosine_schedule_with_min_lr(</span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a> num_warmup_steps,</span>
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a> num_training_steps,</span>
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a> min_lr_ratio<span class="op">=</span><span class="fl">0.0</span>,</span>
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="sourceCode" id="cb4"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>utils.schedulers.get_cosine_schedule_with_min_lr(</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a> num_warmup_steps,</span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a> num_training_steps,</span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a> min_lr_ratio<span class="op">=</span><span class="fl">0.0</span>,</span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<section id="create-a-learning-rate-schedule-which-has" class="level4 doc-section doc-section-create-a-learning-rate-schedule-which-has">
<h4 class="doc-section doc-section-create-a-learning-rate-schedule-which-has anchored" data-anchor-id="create-a-learning-rate-schedule-which-has">Create a learning rate schedule which has</h4>
<ul>
@@ -657,13 +674,13 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
</section>
<section id="axolotl.utils.schedulers.get_cosine_schedule_with_quadratic_warmup" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.utils.schedulers.get_cosine_schedule_with_quadratic_warmup">get_cosine_schedule_with_quadratic_warmup</h3>
<div class="sourceCode" id="cb4"><pre class="sourceCode python code-with-copy"><code class="sourceCode python"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>utils.schedulers.get_cosine_schedule_with_quadratic_warmup(</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a> num_warmup_steps,</span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a> num_training_steps,</span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a> num_cycles<span class="op">=</span><span class="fl">0.5</span>,</span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a> last_epoch<span class="op">=-</span><span class="dv">1</span>,</span>
<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<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>utils.schedulers.get_cosine_schedule_with_quadratic_warmup(</span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a> num_warmup_steps,</span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a> num_training_steps,</span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a> num_cycles<span class="op">=</span><span class="fl">0.5</span>,</span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a> last_epoch<span class="op">=-</span><span class="dv">1</span>,</span>
<span id="cb5-7"><a href="#cb5-7" 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>Create a schedule with a learning rate that decreases following the values of the cosine function between the
initial lr set in the optimizer to 0, after a warmup period during which it increases linearly between 0 and the
initial lr set in the optimizer.</p>
@@ -725,15 +742,15 @@ initial lr set in the optimizer.</p>
</section>
<section id="axolotl.utils.schedulers.get_cosine_schedule_with_warmup_decay_constant" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.utils.schedulers.get_cosine_schedule_with_warmup_decay_constant">get_cosine_schedule_with_warmup_decay_constant</h3>
<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>utils.schedulers.get_cosine_schedule_with_warmup_decay_constant(</span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a> num_warmup_steps,</span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a> num_training_steps,</span>
<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a> constant_lr_ratio,</span>
<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a> min_lr_ratio,</span>
<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a> num_cycles<span class="op">=</span><span class="fl">0.5</span>,</span>
<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a> last_epoch<span class="op">=-</span><span class="dv">1</span>,</span>
<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<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>utils.schedulers.get_cosine_schedule_with_warmup_decay_constant(</span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a> optimizer,</span>
<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a> num_warmup_steps,</span>
<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a> num_training_steps,</span>
<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a> constant_lr_ratio,</span>
<span id="cb6-6"><a href="#cb6-6" aria-hidden="true" tabindex="-1"></a> min_lr_ratio,</span>
<span id="cb6-7"><a href="#cb6-7" aria-hidden="true" tabindex="-1"></a> num_cycles<span class="op">=</span><span class="fl">0.5</span>,</span>
<span id="cb6-8"><a href="#cb6-8" aria-hidden="true" tabindex="-1"></a> last_epoch<span class="op">=-</span><span class="dv">1</span>,</span>
<span id="cb6-9"><a href="#cb6-9" 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>Implementation of Continual Pre-Training of Large Language Models: How to (re)warm your model? (https://arxiv.org/pdf/2308.04014.pdf)
Create a schedule with a learning rate that decreases following the values of the cosine function between the
initial lr set in the optimizer to min_lr_ratio until num_training_steps * constant_lr_ratio, after constant_rate returns constant value of min_rate

View File

@@ -487,6 +487,7 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<li><a href="#classes" id="toc-classes" class="nav-link" data-scroll-target="#classes">Classes</a>
<ul class="collapse">
<li><a href="#axolotl.utils.schemas.training.HyperparametersConfig" id="toc-axolotl.utils.schemas.training.HyperparametersConfig" class="nav-link" data-scroll-target="#axolotl.utils.schemas.training.HyperparametersConfig">HyperparametersConfig</a></li>
<li><a href="#axolotl.utils.schemas.training.JaggedLRConfig" id="toc-axolotl.utils.schemas.training.JaggedLRConfig" class="nav-link" data-scroll-target="#axolotl.utils.schemas.training.JaggedLRConfig">JaggedLRConfig</a></li>
<li><a href="#axolotl.utils.schemas.training.LrGroup" id="toc-axolotl.utils.schemas.training.LrGroup" class="nav-link" data-scroll-target="#axolotl.utils.schemas.training.LrGroup">LrGroup</a></li>
</ul></li>
</ul></li>
@@ -518,6 +519,10 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<td>Training hyperparams configuration subset</td>
</tr>
<tr class="even">
<td><a href="#axolotl.utils.schemas.training.JaggedLRConfig">JaggedLRConfig</a></td>
<td>JaggedLR configuration subset, can be used w/ ReLoRA training</td>
</tr>
<tr class="odd">
<td><a href="#axolotl.utils.schemas.training.LrGroup">LrGroup</a></td>
<td>Custom learning rate group configuration</td>
</tr>
@@ -528,9 +533,14 @@ gtag('config', 'G-9KYCVJBNMQ', { 'anonymize_ip': true});
<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>utils.schemas.training.HyperparametersConfig()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>Training hyperparams configuration subset</p>
</section>
<section id="axolotl.utils.schemas.training.JaggedLRConfig" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.utils.schemas.training.JaggedLRConfig">JaggedLRConfig</h3>
<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>utils.schemas.training.JaggedLRConfig()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>JaggedLR configuration subset, can be used w/ ReLoRA training</p>
</section>
<section id="axolotl.utils.schemas.training.LrGroup" class="level3">
<h3 class="anchored" data-anchor-id="axolotl.utils.schemas.training.LrGroup">LrGroup</h3>
<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>utils.schemas.training.LrGroup()</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>utils.schemas.training.LrGroup()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<p>Custom learning rate group configuration</p>