730 lines
26 KiB
TypeScript
730 lines
26 KiB
TypeScript
import { SectionCard } from "@/components/section-card";
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import { Checkbox } from "@/components/ui/checkbox";
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import {
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Collapsible,
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CollapsibleContent,
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CollapsibleTrigger,
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} from "@/components/ui/collapsible";
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import { Input } from "@/components/ui/input";
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import {
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Select,
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SelectContent,
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SelectItem,
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SelectTrigger,
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SelectValue,
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} from "@/components/ui/select";
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import { Slider } from "@/components/ui/slider";
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import { Tabs, TabsContent, TabsList, TabsTrigger } from "@/components/ui/tabs";
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import {
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Tooltip,
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TooltipContent,
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TooltipTrigger,
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} from "@/components/ui/tooltip";
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import { CONTEXT_LENGTHS, TARGET_MODULES } from "@/config/training";
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import { useWizardStore } from "@/stores/training";
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import type { GradientCheckpointing } from "@/types/training";
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import {
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ArrowDown01Icon,
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InformationCircleIcon,
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Settings04Icon,
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} from "@hugeicons/core-free-icons";
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import { HugeiconsIcon } from "@hugeicons/react";
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import { type ReactElement, type ReactNode, useState } from "react";
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function Row({
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label,
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tooltip,
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children,
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}: { label: string; tooltip?: ReactNode; children: ReactNode }): ReactElement {
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return (
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<div className="flex items-center justify-between">
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<span className="flex items-center gap-1.5 text-xs font-medium text-muted-foreground">
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{label}
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{tooltip && (
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<Tooltip>
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<TooltipTrigger asChild={true}>
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<button
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type="button"
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className="text-foreground/70 hover:text-foreground"
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>
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<HugeiconsIcon
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icon={InformationCircleIcon}
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className="size-3"
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/>
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</button>
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</TooltipTrigger>
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<TooltipContent>{tooltip}</TooltipContent>
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</Tooltip>
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)}
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</span>
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{children}
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</div>
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);
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}
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function SliderRow({
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label,
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tooltip,
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value,
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onChange,
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min,
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max,
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step,
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format,
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}: {
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label: string;
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tooltip?: ReactNode;
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value: number;
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onChange: (v: number) => void;
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min: number;
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max: number;
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step: number;
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format?: (v: number) => string;
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}): ReactElement {
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return (
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<Row label={label} tooltip={tooltip}>
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<div className="flex items-center gap-3">
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<Slider
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value={[value]}
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onValueChange={([v]) => onChange(v)}
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min={min}
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max={max}
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step={step}
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className="w-32"
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/>
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<input
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type="number"
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value={format ? format(value) : value}
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onChange={(e) => onChange(Number(e.target.value))}
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min={min}
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max={max}
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step={step}
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className="w-12 text-right font-mono text-xs font-medium bg-muted/50 border border-border rounded-lg px-1.5 py-0.5 focus:outline-none focus:ring-1 focus:ring-primary/30 [&::-webkit-inner-spin-button]:appearance-none"
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/>
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</div>
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</Row>
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);
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}
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export function ParamsSection(): ReactElement {
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const store = useWizardStore();
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const isLora = store.trainingMethod !== "full";
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const isVision = store.modelType === "vision";
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const [loraOpen, setLoraOpen] = useState(false);
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const [hyperOpen, setHyperOpen] = useState(false);
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return (
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<SectionCard
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icon={<HugeiconsIcon icon={Settings04Icon} className="size-5" />}
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title="Parameters"
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description="Configure training hyperparameters"
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accent="orange"
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className="lg:col-span-4 min-h-[450px]"
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>
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<div className="flex flex-col gap-4">
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{/* Epochs */}
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<div className="flex flex-col gap-2">
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<div className="flex items-center justify-between">
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<span className="flex items-center gap-1.5 text-xs font-medium text-muted-foreground">
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Epochs
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<Tooltip>
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<TooltipTrigger asChild={true}>
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<button
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type="button"
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className="text-foreground/70 hover:text-foreground"
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>
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<HugeiconsIcon
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icon={InformationCircleIcon}
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className="size-3"
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/>
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</button>
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</TooltipTrigger>
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<TooltipContent>
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How many times the model sees the entire dataset during
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training.{" "}
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<a
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href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary underline"
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>
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Read more
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</a>
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</TooltipContent>
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</Tooltip>
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</span>
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<input
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type="number"
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value={store.epochs}
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onChange={(e) => store.setEpochs(Number(e.target.value))}
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min={1}
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max={20}
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step={1}
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className="w-12 text-right font-mono text-xs font-medium bg-muted/50 border border-border rounded-lg px-1.5 py-0.5 focus:outline-none focus:ring-1 focus:ring-primary/30 [&::-webkit-inner-spin-button]:appearance-none"
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/>
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</div>
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<Slider
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value={[store.epochs]}
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onValueChange={([v]) => store.setEpochs(v)}
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min={1}
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max={20}
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step={1}
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/>
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<p className="text-[10px] text-muted-foreground">
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Number of full passes over the training dataset
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</p>
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</div>
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{/* Context length */}
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<div className="flex flex-col gap-2">
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<span className="flex items-center gap-1.5 text-xs font-medium text-muted-foreground">
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Context Length
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<Tooltip>
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<TooltipTrigger asChild={true}>
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<button
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type="button"
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className="text-foreground/70 hover:text-foreground"
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>
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<HugeiconsIcon
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icon={InformationCircleIcon}
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className="size-3"
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/>
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</button>
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</TooltipTrigger>
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<TooltipContent>
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Maximum number of tokens per training sample.{" "}
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<a
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href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary underline"
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>
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Read more
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</a>
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</TooltipContent>
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</Tooltip>
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</span>
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<Select
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value={String(store.contextLength)}
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onValueChange={(v) => store.setContextLength(Number(v))}
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>
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<SelectTrigger className="w-full font-mono">
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<SelectValue />
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</SelectTrigger>
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<SelectContent>
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{CONTEXT_LENGTHS.map((len) => (
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<SelectItem key={len} value={String(len)} className="font-mono">
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{len.toLocaleString()}
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</SelectItem>
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))}
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</SelectContent>
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</Select>
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<p className="text-[10px] text-muted-foreground">
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Max sequence length for training samples
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</p>
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</div>
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{/* Learning Rate */}
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<div className="flex flex-col gap-2">
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<span className="flex items-center gap-1.5 text-xs font-medium text-muted-foreground">
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Learning Rate
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<Tooltip>
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<TooltipTrigger asChild={true}>
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<button
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type="button"
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className="text-foreground/70 hover:text-foreground"
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>
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<HugeiconsIcon
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icon={InformationCircleIcon}
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className="size-3"
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/>
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</button>
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</TooltipTrigger>
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<TooltipContent>
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Step size for weight updates. Lower values train slower but more
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stably.{" "}
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<a
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href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary underline"
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>
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Read more
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</a>
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</TooltipContent>
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</Tooltip>
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</span>
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<Input
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type="number"
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step="0.00001"
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value={store.learningRate}
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onChange={(e) => store.setLearningRate(Number(e.target.value))}
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className="w-full font-mono"
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/>
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<p className="text-[10px] text-muted-foreground">
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Recommended: 2e-4 for LoRA, 2e-5 for full fine-tune
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</p>
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</div>
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{/* LoRA Settings */}
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{isLora && (
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<div>
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<button
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type="button"
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onClick={() => setLoraOpen(!loraOpen)}
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className="flex w-full cursor-pointer items-center gap-1.5 text-xs text-muted-foreground"
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>
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<HugeiconsIcon
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icon={ArrowDown01Icon}
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className={`size-3.5 transition-transform ${loraOpen ? "rotate-180" : ""}`}
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/>
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LoRA Settings
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</button>
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<div
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className={`${loraOpen ? "" : "hidden"} pt-1.5 mt-4 flex flex-col gap-4`}
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>
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<SliderRow
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label="Rank"
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tooltip={
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<>
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Dimension of the low-rank matrices. Higher = more capacity.{" "}
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<a
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href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary underline"
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>
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Read more
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</a>
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</>
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}
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value={store.loraRank}
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onChange={store.setLoraRank}
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min={4}
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max={128}
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step={4}
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/>
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<SliderRow
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label="Alpha"
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tooltip={
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<>
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Scaling factor for LoRA updates. Usually 2x rank.{" "}
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<a
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href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary underline"
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>
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Read more
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</a>
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</>
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}
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value={store.loraAlpha}
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onChange={store.setLoraAlpha}
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min={4}
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max={256}
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step={4}
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/>
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<SliderRow
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label="Dropout"
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tooltip={
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<>
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Dropout probability for LoRA layers to reduce overfitting.{" "}
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<a
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href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary underline"
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>
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Read more
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</a>
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</>
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}
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value={store.loraDropout}
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onChange={store.setLoraDropout}
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min={0}
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max={0.5}
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step={0.01}
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format={(v) => v.toFixed(2)}
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/>
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{/* Vision checkboxes */}
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{isVision && (
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<div className="flex flex-col gap-2 pt-1">
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{(
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[
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[
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"finetuneVisionLayers",
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"Vision layers",
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store.finetuneVisionLayers,
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store.setFinetuneVisionLayers,
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],
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[
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"finetuneLanguageLayers",
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"Language layers",
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store.finetuneLanguageLayers,
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store.setFinetuneLanguageLayers,
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],
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[
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"finetuneAttentionModules",
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"Attention modules",
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store.finetuneAttentionModules,
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store.setFinetuneAttentionModules,
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],
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[
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"finetuneMLPModules",
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"MLP modules",
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store.finetuneMLPModules,
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store.setFinetuneMLPModules,
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],
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] as const
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).map(([key, label, value, setter]) => (
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<div key={key} className="flex items-center gap-2">
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<Checkbox
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id={key}
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checked={value as boolean}
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onCheckedChange={(v) =>
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(setter as (v: boolean) => void)(!!v)
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}
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/>
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<label
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htmlFor={key}
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className="text-xs cursor-pointer text-muted-foreground"
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>
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{label}
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</label>
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</div>
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))}
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</div>
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)}
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{/* Text target modules */}
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{!isVision && (
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<div className="flex flex-col gap-2 pt-1">
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<span className="text-xs font-medium text-muted-foreground">
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Target Modules
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</span>
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<div className="flex flex-wrap gap-1.5">
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{TARGET_MODULES.map((mod) => {
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const active = store.targetModules.includes(mod);
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return (
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<button
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key={mod}
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type="button"
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onClick={() => {
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store.setTargetModules(
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active
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? store.targetModules.filter((m) => m !== mod)
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: [...store.targetModules, mod],
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);
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}}
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className={`cursor-pointer rounded-full border px-2.5 py-0.5 text-[11px] font-mono transition-colors ${
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active
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? "border-orange-300 bg-orange-50 text-orange-700 dark:border-orange-700 dark:bg-orange-950 dark:text-orange-300"
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: "text-muted-foreground hover:bg-muted/50"
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}`}
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>
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{mod}
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</button>
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);
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})}
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</div>
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</div>
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)}
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{/* LoRA variant */}
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<div className="flex gap-2">
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{(
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[
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{
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value: "lora",
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label: "Enable LoRA",
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desc: "Train with LoRA",
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},
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{ value: "rslora", label: "RS-LoRA", desc: "Stable Rank" },
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{
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value: "loftq",
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label: "LoftQ",
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desc: "Memory Efficient",
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},
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] as const
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).map((opt) => (
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<button
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key={opt.value}
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type="button"
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onClick={() => store.setLoraVariant(opt.value)}
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className={`flex-1 corner-squircle rounded-xl border px-3 py-2 text-left transition-colors cursor-pointer ${
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store.loraVariant === opt.value
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? "border-primary/50 bg-primary/5 ring-1 ring-primary/20"
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: "border-border hover:border-foreground/20"
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}`}
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>
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<p className="text-xs font-medium">{opt.label}</p>
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<p className="text-[10px] text-muted-foreground">
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{opt.desc}
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</p>
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</button>
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))}
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</div>
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</div>
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</div>
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)}
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{/* Training Hyperparams */}
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<Collapsible open={hyperOpen} onOpenChange={setHyperOpen}>
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<CollapsibleTrigger className="flex w-full cursor-pointer items-center gap-1.5 text-xs text-muted-foreground">
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<HugeiconsIcon
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icon={ArrowDown01Icon}
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className={`size-3.5 transition-transform ${hyperOpen ? "rotate-180" : ""}`}
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/>
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Training Hyperparameters
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</CollapsibleTrigger>
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<CollapsibleContent className="mt-3">
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<Tabs defaultValue="optimization" className="w-full">
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<TabsList className="w-full">
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<TabsTrigger
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value="optimization"
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className="flex-1 !corner-squircle text-xs cursor-pointer"
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>
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Optimization
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</TabsTrigger>
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<TabsTrigger
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value="schedule"
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className="flex-1 text-xs cursor-pointer"
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>
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Schedule
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</TabsTrigger>
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<TabsTrigger
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value="memory"
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className="flex-1 text-xs cursor-pointer"
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>
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Memory
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</TabsTrigger>
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</TabsList>
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<TabsContent
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value="optimization"
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className="mt-3 flex flex-col gap-3"
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>
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<SliderRow
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label="Batch Size"
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tooltip={
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<>
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Samples processed per step. Higher uses more VRAM.{" "}
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<a
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href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary underline"
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>
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Read more
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</a>
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</>
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}
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value={store.batchSize}
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onChange={store.setBatchSize}
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min={1}
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max={32}
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step={1}
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/>
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<SliderRow
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label="Grad Accum"
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tooltip={
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<>
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Simulates larger batch sizes without extra VRAM.{" "}
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<a
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href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
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target="_blank"
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rel="noopener noreferrer"
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className="text-primary underline"
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>
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Read more
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</a>
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</>
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}
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value={store.gradientAccumulation}
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onChange={store.setGradientAccumulation}
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min={1}
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max={64}
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step={1}
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/>
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<Row
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|
label="Weight Decay"
|
|
tooltip={
|
|
<>
|
|
L2 regularization to prevent overfitting.{" "}
|
|
<a
|
|
href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
|
|
target="_blank"
|
|
rel="noopener noreferrer"
|
|
className="text-primary underline"
|
|
>
|
|
Read more
|
|
</a>
|
|
</>
|
|
}
|
|
>
|
|
<Input
|
|
type="number"
|
|
step="0.001"
|
|
value={store.weightDecay}
|
|
onChange={(e) =>
|
|
store.setWeightDecay(Number(e.target.value))
|
|
}
|
|
className="w-28 font-mono"
|
|
/>
|
|
</Row>
|
|
</TabsContent>
|
|
|
|
<TabsContent
|
|
value="schedule"
|
|
className="mt-3 flex flex-col gap-3"
|
|
>
|
|
<SliderRow
|
|
label="Warmup Steps"
|
|
tooltip={
|
|
<>
|
|
Gradually increase LR at training start for stability.{" "}
|
|
<a
|
|
href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
|
|
target="_blank"
|
|
rel="noopener noreferrer"
|
|
className="text-primary underline"
|
|
>
|
|
Read more
|
|
</a>
|
|
</>
|
|
}
|
|
value={store.warmupSteps}
|
|
onChange={store.setWarmupSteps}
|
|
min={0}
|
|
max={100}
|
|
step={1}
|
|
/>
|
|
<Row
|
|
label="Max Steps"
|
|
tooltip={
|
|
<>
|
|
Override total steps. 0 means use epochs instead.{" "}
|
|
<a
|
|
href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
|
|
target="_blank"
|
|
rel="noopener noreferrer"
|
|
className="text-primary underline"
|
|
>
|
|
Read more
|
|
</a>
|
|
</>
|
|
}
|
|
>
|
|
<Input
|
|
type="number"
|
|
value={store.maxSteps}
|
|
onChange={(e) => store.setMaxSteps(Number(e.target.value))}
|
|
className="w-28 font-mono"
|
|
/>
|
|
</Row>
|
|
<Row
|
|
label="Save Steps"
|
|
tooltip={
|
|
<>
|
|
Save a checkpoint every N steps. 0 to disable.{" "}
|
|
<a
|
|
href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
|
|
target="_blank"
|
|
rel="noopener noreferrer"
|
|
className="text-primary underline"
|
|
>
|
|
Read more
|
|
</a>
|
|
</>
|
|
}
|
|
>
|
|
<Input
|
|
type="number"
|
|
value={store.saveSteps}
|
|
onChange={(e) => store.setSaveSteps(Number(e.target.value))}
|
|
className="w-28 font-mono"
|
|
/>
|
|
</Row>
|
|
<Row label="Seed" tooltip="Random seed for reproducibility.">
|
|
<Input
|
|
type="number"
|
|
value={store.randomSeed}
|
|
onChange={(e) =>
|
|
store.setRandomSeed(Number(e.target.value))
|
|
}
|
|
className="w-28 font-mono"
|
|
/>
|
|
</Row>
|
|
</TabsContent>
|
|
|
|
<TabsContent value="memory" className="mt-3 flex flex-col gap-3">
|
|
<Row
|
|
label="Grad Checkpoint"
|
|
tooltip={
|
|
<>
|
|
Trade compute for memory by recomputing activations.{" "}
|
|
<a
|
|
href="https://unsloth.ai/docs/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide"
|
|
target="_blank"
|
|
rel="noopener noreferrer"
|
|
className="text-primary underline"
|
|
>
|
|
Read more
|
|
</a>
|
|
</>
|
|
}
|
|
>
|
|
<Select
|
|
value={store.gradientCheckpointing}
|
|
onValueChange={(v) =>
|
|
store.setGradientCheckpointing(v as GradientCheckpointing)
|
|
}
|
|
>
|
|
<SelectTrigger className="w-32">
|
|
<SelectValue />
|
|
</SelectTrigger>
|
|
<SelectContent>
|
|
<SelectItem value="none">None</SelectItem>
|
|
<SelectItem value="true">Standard</SelectItem>
|
|
<SelectItem value="unsloth">Unsloth</SelectItem>
|
|
</SelectContent>
|
|
</Select>
|
|
</Row>
|
|
{store.modelType !== "vision" && (
|
|
<div className="flex items-center gap-2">
|
|
<Checkbox
|
|
id="packing"
|
|
checked={store.packing}
|
|
onCheckedChange={(v) => store.setPacking(!!v)}
|
|
/>
|
|
<label
|
|
htmlFor="packing"
|
|
className="text-xs cursor-pointer text-muted-foreground"
|
|
>
|
|
Enable packing
|
|
</label>
|
|
</div>
|
|
)}
|
|
<div className="flex items-center gap-2">
|
|
<Checkbox
|
|
id="trainOnCompletions"
|
|
checked={store.trainOnCompletions}
|
|
onCheckedChange={(v) => store.setTrainOnCompletions(!!v)}
|
|
/>
|
|
<label
|
|
htmlFor="trainOnCompletions"
|
|
className="text-xs cursor-pointer text-muted-foreground"
|
|
>
|
|
Assistant completions only
|
|
</label>
|
|
</div>
|
|
</TabsContent>
|
|
</Tabs>
|
|
</CollapsibleContent>
|
|
</Collapsible>
|
|
</div>
|
|
</SectionCard>
|
|
);
|
|
}
|