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@@ -530,7 +530,7 @@ sequence parallel group.</p>
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<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a> rank,</span>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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@@ -542,7 +542,7 @@ sequence parallel group.</p>
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- Entire batches are repeated for reuse in multiple updates.
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- Data is properly distributed across SP groups.</p>
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<p>In the table below, the values represent dataset indices. Each SP group has
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<code>sequence_parallel_degree = 2</code> GPUs working together on the same data. There are 2
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<code>context_parallel_size = 2</code> GPUs working together on the same data. There are 2
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SP groups (SP0 and SP1), with <code>world_size = 4</code> total GPUs.</p>
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<pre><code> Sequence Parallel Groups
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| SP0 | SP1 |
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@@ -561,9 +561,9 @@ num_iterations=2 ▼ 1 3 [0 0 0 1 1 1] [2 2 2 3 3 3] <- When using gradient a
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<h4 class="doc-section doc-section-parameters anchored" data-anchor-id="parameters">Parameters</h4>
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@@ -612,7 +612,7 @@ num_iterations=2 ▼ 1 3 [0 0 0 1 1 1] [2 2 2 3 3 3] <- When using gradient a
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<td><code>1</code></td>
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</tr>
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<tr class="odd">
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<td>sequence_parallel_degree</td>
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<td>context_parallel_size</td>
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<td>int</td>
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<td>Number of ranks in a sequence parallel group.</td>
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<td><code>1</code></td>
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if (hash) {
|
||||
const id = hash.replace(/^#\/?/, "");
|
||||
const note = window.document.getElementById(id);
|
||||
if (note !== null) {
|
||||
try {
|
||||
const html = processXRef(id, note.cloneNode(true));
|
||||
instance.setContent(html);
|
||||
} finally {
|
||||
instance.enable();
|
||||
instance.show();
|
||||
}
|
||||
} else {
|
||||
// See if we can fetch this
|
||||
fetch(url.split('#')[0])
|
||||
.then(res => res.text())
|
||||
.then(html => {
|
||||
const parser = new DOMParser();
|
||||
const htmlDoc = parser.parseFromString(html, "text/html");
|
||||
const note = htmlDoc.getElementById(id);
|
||||
if (note !== null) {
|
||||
const html = processXRef(id, note);
|
||||
instance.setContent(html);
|
||||
}
|
||||
}).finally(() => {
|
||||
instance.enable();
|
||||
instance.show();
|
||||
});
|
||||
}
|
||||
} else {
|
||||
// See if we can fetch a full url (with no hash to target)
|
||||
// This is a special case and we should probably do some content thinning / targeting
|
||||
fetch(url)
|
||||
.then(res => res.text())
|
||||
.then(html => {
|
||||
const parser = new DOMParser();
|
||||
const htmlDoc = parser.parseFromString(html, "text/html");
|
||||
const note = htmlDoc.querySelector('main.content');
|
||||
if (note !== null) {
|
||||
// This should only happen for chapter cross references
|
||||
// (since there is no id in the URL)
|
||||
// remove the first header
|
||||
if (note.children.length > 0 && note.children[0].tagName === "HEADER") {
|
||||
note.children[0].remove();
|
||||
}
|
||||
const html = processXRef(null, note);
|
||||
instance.setContent(html);
|
||||
}
|
||||
}).finally(() => {
|
||||
instance.enable();
|
||||
instance.show();
|
||||
});
|
||||
}
|
||||
}, function(instance) {
|
||||
});
|
||||
}
|
||||
let selectedAnnoteEl;
|
||||
const selectorForAnnotation = ( cell, annotation) => {
|
||||
let cellAttr = 'data-code-cell="' + cell + '"';
|
||||
let lineAttr = 'data-code-annotation="' + annotation + '"';
|
||||
const selector = 'span[' + cellAttr + '][' + lineAttr + ']';
|
||||
return selector;
|
||||
}
|
||||
const selectCodeLines = (annoteEl) => {
|
||||
const doc = window.document;
|
||||
const targetCell = annoteEl.getAttribute("data-target-cell");
|
||||
const targetAnnotation = annoteEl.getAttribute("data-target-annotation");
|
||||
const annoteSpan = window.document.querySelector(selectorForAnnotation(targetCell, targetAnnotation));
|
||||
const lines = annoteSpan.getAttribute("data-code-lines").split(",");
|
||||
const lineIds = lines.map((line) => {
|
||||
return targetCell + "-" + line;
|
||||
})
|
||||
let top = null;
|
||||
let height = null;
|
||||
let parent = null;
|
||||
if (lineIds.length > 0) {
|
||||
//compute the position of the single el (top and bottom and make a div)
|
||||
const el = window.document.getElementById(lineIds[0]);
|
||||
top = el.offsetTop;
|
||||
height = el.offsetHeight;
|
||||
parent = el.parentElement.parentElement;
|
||||
if (lineIds.length > 1) {
|
||||
const lastEl = window.document.getElementById(lineIds[lineIds.length - 1]);
|
||||
const bottom = lastEl.offsetTop + lastEl.offsetHeight;
|
||||
height = bottom - top;
|
||||
}
|
||||
if (top !== null && height !== null && parent !== null) {
|
||||
// cook up a div (if necessary) and position it
|
||||
let div = window.document.getElementById("code-annotation-line-highlight");
|
||||
if (div === null) {
|
||||
div = window.document.createElement("div");
|
||||
div.setAttribute("id", "code-annotation-line-highlight");
|
||||
div.style.position = 'absolute';
|
||||
parent.appendChild(div);
|
||||
}
|
||||
div.style.top = top - 2 + "px";
|
||||
div.style.height = height + 4 + "px";
|
||||
div.style.left = 0;
|
||||
let gutterDiv = window.document.getElementById("code-annotation-line-highlight-gutter");
|
||||
if (gutterDiv === null) {
|
||||
gutterDiv = window.document.createElement("div");
|
||||
gutterDiv.setAttribute("id", "code-annotation-line-highlight-gutter");
|
||||
gutterDiv.style.position = 'absolute';
|
||||
const codeCell = window.document.getElementById(targetCell);
|
||||
const gutter = codeCell.querySelector('.code-annotation-gutter');
|
||||
gutter.appendChild(gutterDiv);
|
||||
}
|
||||
gutterDiv.style.top = top - 2 + "px";
|
||||
gutterDiv.style.height = height + 4 + "px";
|
||||
}
|
||||
selectedAnnoteEl = annoteEl;
|
||||
}
|
||||
};
|
||||
const unselectCodeLines = () => {
|
||||
const elementsIds = ["code-annotation-line-highlight", "code-annotation-line-highlight-gutter"];
|
||||
elementsIds.forEach((elId) => {
|
||||
const div = window.document.getElementById(elId);
|
||||
if (div) {
|
||||
div.remove();
|
||||
}
|
||||
});
|
||||
selectedAnnoteEl = undefined;
|
||||
};
|
||||
// Handle positioning of the toggle
|
||||
window.addEventListener(
|
||||
"resize",
|
||||
throttle(() => {
|
||||
elRect = undefined;
|
||||
if (selectedAnnoteEl) {
|
||||
selectCodeLines(selectedAnnoteEl);
|
||||
}
|
||||
}, 10)
|
||||
);
|
||||
function throttle(fn, ms) {
|
||||
let throttle = false;
|
||||
let timer;
|
||||
return (...args) => {
|
||||
if(!throttle) { // first call gets through
|
||||
fn.apply(this, args);
|
||||
throttle = true;
|
||||
} else { // all the others get throttled
|
||||
if(timer) clearTimeout(timer); // cancel #2
|
||||
timer = setTimeout(() => {
|
||||
fn.apply(this, args);
|
||||
timer = throttle = false;
|
||||
}, ms);
|
||||
}
|
||||
};
|
||||
}
|
||||
// Attach click handler to the DT
|
||||
const annoteDls = window.document.querySelectorAll('dt[data-target-cell]');
|
||||
for (const annoteDlNode of annoteDls) {
|
||||
annoteDlNode.addEventListener('click', (event) => {
|
||||
const clickedEl = event.target;
|
||||
if (clickedEl !== selectedAnnoteEl) {
|
||||
unselectCodeLines();
|
||||
const activeEl = window.document.querySelector('dt[data-target-cell].code-annotation-active');
|
||||
if (activeEl) {
|
||||
activeEl.classList.remove('code-annotation-active');
|
||||
}
|
||||
selectCodeLines(clickedEl);
|
||||
clickedEl.classList.add('code-annotation-active');
|
||||
} else {
|
||||
// Unselect the line
|
||||
unselectCodeLines();
|
||||
clickedEl.classList.remove('code-annotation-active');
|
||||
}
|
||||
});
|
||||
}
|
||||
const findCites = (el) => {
|
||||
const parentEl = el.parentElement;
|
||||
if (parentEl) {
|
||||
const cites = parentEl.dataset.cites;
|
||||
if (cites) {
|
||||
return {
|
||||
el,
|
||||
cites: cites.split(' ')
|
||||
};
|
||||
} else {
|
||||
return findCites(el.parentElement)
|
||||
}
|
||||
} else {
|
||||
return undefined;
|
||||
}
|
||||
};
|
||||
var bibliorefs = window.document.querySelectorAll('a[role="doc-biblioref"]');
|
||||
for (var i=0; i<bibliorefs.length; i++) {
|
||||
const ref = bibliorefs[i];
|
||||
const citeInfo = findCites(ref);
|
||||
if (citeInfo) {
|
||||
tippyHover(citeInfo.el, function() {
|
||||
var popup = window.document.createElement('div');
|
||||
citeInfo.cites.forEach(function(cite) {
|
||||
var citeDiv = window.document.createElement('div');
|
||||
citeDiv.classList.add('hanging-indent');
|
||||
citeDiv.classList.add('csl-entry');
|
||||
var biblioDiv = window.document.getElementById('ref-' + cite);
|
||||
if (biblioDiv) {
|
||||
citeDiv.innerHTML = biblioDiv.innerHTML;
|
||||
}
|
||||
popup.appendChild(citeDiv);
|
||||
});
|
||||
return popup.innerHTML;
|
||||
});
|
||||
}
|
||||
}
|
||||
});
|
||||
</script>
|
||||
</div> <!-- /content -->
|
||||
|
||||
|
||||
|
||||
|
||||
</body></html>
|
||||
@@ -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>
|
||||
|
||||
@@ -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>
|
||||
|
||||
@@ -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>
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -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>
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user