Improve Training Speed and Efficiency #2

Open
Open
Improve Training Speed and Efficiency#2
Labels
help wantedExtra attention is needed

Description

@Puneet-Kumar2010
Puneet-Kumar2010
opened on Aug 23, 2026

The current training process is quite slow and could be optimized to make training faster and more efficient.

Suggested improvements:
Optimize the training pipeline to reduce unnecessary processing.
Improve data loading and preprocessing efficiency.
Reduce unnecessary overhead between training steps.
Optimize batch processing where possible.
Consider using mixed-precision training to improve performance.
Improve checkpointing and logging so they don't slow down training.
Make better use of available hardware resources.

Overall, the goal is to reduce training time while maintaining or improving model quality.

Activity

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

      Skip to content
      Improve Training Speed and Efficiency #2
      Open
      Open
      Improve Training Speed and Efficiency#2
      Labels
      help wantedExtra attention is needed
      Description
      @Puneet-Kumar2010
      Puneet-Kumar2010
      opened on Aug 23, 2026
      The current training process is quite slow and could be optimized to make training faster and more efficient.
      Suggested improvements:
      
Optimize the training pipeline to reduce unnecessary processing.
      
Improve data loading and preprocessing efficiency.
      
Reduce unnecessary overhead between training steps.
      
Optimize batch processing where possible.
      
Consider using mixed-precision training to improve performance.
      
Improve checkpointing and logging so they don't slow down training.
      
Make better use of available hardware resources.
      Overall, the goal is to reduce training time while maintaining or improving model quality.
      Activity
      Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
      Metadata
      Metadata
      Assignees
      No one assigned
        Labels
        help wantedExtra attention is needed
        Projects
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          None yet
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

          Skip to content
          Improve Training Speed and Efficiency #2
          Open
          Open
          Improve Training Speed and Efficiency#2
          Labels
          help wantedExtra attention is needed
          Description
          @Puneet-Kumar2010
          Puneet-Kumar2010
          opened on Aug 23, 2026
          The current training process is quite slow and could be optimized to make training faster and more efficient.
          Suggested improvements:
          
Optimize the training pipeline to reduce unnecessary processing.
          
Improve data loading and preprocessing efficiency.
          
Reduce unnecessary overhead between training steps.
          
Optimize batch processing where possible.
          
Consider using mixed-precision training to improve performance.
          
Improve checkpointing and logging so they don't slow down training.
          
Make better use of available hardware resources.
          Overall, the goal is to reduce training time while maintaining or improving model quality.
          Activity
          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
          Metadata
          Metadata
          Assignees
          No one assigned
            Labels
            help wantedExtra attention is needed
            Projects
            No projects
              Milestone
              No milestone
              Relationships
              None yet
              Development
              No branches or pull requests
              Issue actions
              
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

              Skip to content
              Improve Training Speed and Efficiency #2
              Open
              Open
              Improve Training Speed and Efficiency#2
              Labels
              help wantedExtra attention is needed
              Description
              @Puneet-Kumar2010
              Puneet-Kumar2010
              opened on Aug 23, 2026
              The current training process is quite slow and could be optimized to make training faster and more efficient.
              Suggested improvements:
              
Optimize the training pipeline to reduce unnecessary processing.
              
Improve data loading and preprocessing efficiency.
              
Reduce unnecessary overhead between training steps.
              
Optimize batch processing where possible.
              
Consider using mixed-precision training to improve performance.
              
Improve checkpointing and logging so they don't slow down training.
              
Make better use of available hardware resources.
              Overall, the goal is to reduce training time while maintaining or improving model quality.
              Activity
              Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
              Metadata
              Metadata
              Assignees
              No one assigned
                Labels
                help wantedExtra attention is needed
                Projects
                No projects
                  Milestone
                  No milestone
                  Relationships
                  None yet
                  Development
                  No branches or pull requests
                  Issue actions
                  
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

                  Skip to content
                  Improve Training Speed and Efficiency #2
                  Open
                  Open
                  Improve Training Speed and Efficiency#2
                  Labels
                  help wantedExtra attention is needed
                  Description
                  @Puneet-Kumar2010
                  Puneet-Kumar2010
                  opened on Aug 23, 2026
                  The current training process is quite slow and could be optimized to make training faster and more efficient.
                  Suggested improvements:
                  
Optimize the training pipeline to reduce unnecessary processing.
                  
Improve data loading and preprocessing efficiency.
                  
Reduce unnecessary overhead between training steps.
                  
Optimize batch processing where possible.
                  
Consider using mixed-precision training to improve performance.
                  
Improve checkpointing and logging so they don't slow down training.
                  
Make better use of available hardware resources.
                  Overall, the goal is to reduce training time while maintaining or improving model quality.
                  Activity
                  Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
                  Metadata
                  Metadata
                  Assignees
                  No one assigned
                    Labels
                    help wantedExtra attention is needed
                    Projects
                    No projects
                      Milestone
                      No milestone
                      Relationships
                      None yet
                      Development
                      No branches or pull requests
                      Issue actions
                      
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                      Skip to content
                      Improve Training Speed and Efficiency #2
                      Open
                      Open
                      Improve Training Speed and Efficiency#2
                      Labels
                      help wantedExtra attention is needed
                      Description
                      @Puneet-Kumar2010
                      Puneet-Kumar2010
                      opened on Aug 23, 2026
                      The current training process is quite slow and could be optimized to make training faster and more efficient.
                      Suggested improvements:
                      
Optimize the training pipeline to reduce unnecessary processing.
                      
Improve data loading and preprocessing efficiency.
                      
Reduce unnecessary overhead between training steps.
                      
Optimize batch processing where possible.
                      
Consider using mixed-precision training to improve performance.
                      
Improve checkpointing and logging so they don't slow down training.
                      
Make better use of available hardware resources.
                      Overall, the goal is to reduce training time while maintaining or improving model quality.
                      Activity
                      Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
                      Metadata
                      Metadata
                      Assignees
                      No one assigned
                        Labels
                        help wantedExtra attention is needed
                        Projects
                        No projects
                          Milestone
                          No milestone
                          Relationships
                          None yet
                          Development
                          No branches or pull requests
                          Issue actions
                          
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                          Skip to content
                          Improve Training Speed and Efficiency #2
                          Open
                          Open
                          Improve Training Speed and Efficiency#2
                          Labels
                          help wantedExtra attention is needed
                          Description
                          @Puneet-Kumar2010
                          Puneet-Kumar2010
                          opened on Aug 23, 2026
                          The current training process is quite slow and could be optimized to make training faster and more efficient.
                          Suggested improvements:
                          
Optimize the training pipeline to reduce unnecessary processing.
                          
Improve data loading and preprocessing efficiency.
                          
Reduce unnecessary overhead between training steps.
                          
Optimize batch processing where possible.
                          
Consider using mixed-precision training to improve performance.
                          
Improve checkpointing and logging so they don't slow down training.
                          
Make better use of available hardware resources.
                          Overall, the goal is to reduce training time while maintaining or improving model quality.
                          Activity
                          Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
                          Metadata
                          Metadata
                          Assignees
                          No one assigned
                            Labels
                            help wantedExtra attention is needed
                            Projects
                            No projects
                              Milestone
                              No milestone
                              Relationships
                              None yet
                              Development
                              No branches or pull requests
                              Issue actions
                              
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

                              Skip to content
                              Improve Training Speed and Efficiency #2
                              Open
                              Open
                              Improve Training Speed and Efficiency#2
                              Labels
                              help wantedExtra attention is needed
                              Description
                              @Puneet-Kumar2010
                              Puneet-Kumar2010
                              opened on Aug 23, 2026
                              The current training process is quite slow and could be optimized to make training faster and more efficient.
                              Suggested improvements:
                              
Optimize the training pipeline to reduce unnecessary processing.
                              
Improve data loading and preprocessing efficiency.
                              
Reduce unnecessary overhead between training steps.
                              
Optimize batch processing where possible.
                              
Consider using mixed-precision training to improve performance.
                              
Improve checkpointing and logging so they don't slow down training.
                              
Make better use of available hardware resources.
                              Overall, the goal is to reduce training time while maintaining or improving model quality.
                              Activity
                              Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
                              Metadata
                              Metadata
                              Assignees
                              No one assigned
                                Labels
                                help wantedExtra attention is needed
                                Projects
                                No projects
                                  Milestone
                                  No milestone
                                  Relationships
                                  None yet
                                  Development
                                  No branches or pull requests
                                  Issue actions