Buckets:

rtrm's picture
download
raw
6.43 kB
<meta charset="utf-8" /><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;BERTology&quot;,&quot;local&quot;:&quot;bertology&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}">
<link href="/docs/transformers/pr_33913/ar/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/entry/start.a2b1508c.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/chunks/scheduler.5eb9d175.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/chunks/singletons.995fe7fe.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/chunks/index.4d790b85.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/chunks/paths.2c5f54bd.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/entry/app.72eb63b7.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/chunks/index.fcdcb606.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/nodes/0.6aa6e804.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/chunks/each.e59479a4.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/nodes/6.98613907.js">
<link rel="modulepreload" href="/docs/transformers/pr_33913/ar/_app/immutable/chunks/EditOnGithub.98bf070f.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{&quot;title&quot;:&quot;BERTology&quot;,&quot;local&quot;:&quot;bertology&quot;,&quot;sections&quot;:[],&quot;depth&quot;:1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="bertology" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#bertology"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>BERTology</span></h1> <p data-svelte-h="svelte-8yu14t">يُشهد في الآونة الأخيرة نمو مجال دراسي يُعنى باستكشاف آلية عمل نماذج المحولات الضخمة مثل BERT (والذي يُطلق عليها البعض اسم “BERTology”). ومن الأمثلة البارزة على هذا المجال ما يلي:</p> <ul data-svelte-h="svelte-lzsgej"><li>BERT Rediscovers the Classical NLP Pipeline بواسطة Ian Tenney و Dipanjan Das و Ellie Pavlick:
<a href="https://arxiv.org/abs/1905.05950" rel="nofollow">https://arxiv.org/abs/1905.05950</a></li> <li>Are Sixteen Heads Really Better than One? بواسطة Paul Michel و Omer Levy و Graham Neubig: <a href="https://arxiv.org/abs/1905.10650" rel="nofollow">https://arxiv.org/abs/1905.10650</a></li> <li>What Does BERT Look At? An Analysis of BERT’s Attention بواسطة Kevin Clark و Urvashi Khandelwal و Omer Levy و Christopher D.
Manning: <a href="https://arxiv.org/abs/1906.04341" rel="nofollow">https://arxiv.org/abs/1906.04341</a></li> <li>CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure: <a href="https://arxiv.org/abs/2210.04633" rel="nofollow">https://arxiv.org/abs/2210.04633</a></li></ul> <p data-svelte-h="svelte-snt8w8">لإثراء هذا المجال الناشئ، قمنا بتضمين بعض الميزات الإضافية في نماذج BERT/GPT/GPT-2 للسماح للناس بالوصول إلى التمثيلات الداخلية، والتي تم تكييفها بشكل أساسي من العمل الرائد لـ Paul Michel (<a href="https://arxiv.org/abs/1905.10650" rel="nofollow">https://arxiv.org/abs/1905.10650</a>):</p> <ul data-svelte-h="svelte-1nrvorv"><li>الوصول إلى جميع الحالات المخفية في BERT/GPT/GPT-2،</li> <li>الوصول إلى جميع أوزان الانتباه لكل رأس في BERT/GPT/GPT-2،</li> <li>استرجاع قيم ومشتقات مخرجات الرأس لحساب درجة أهمية الرأس وحذفه كما هو موضح في <a href="https://arxiv.org/abs/1905.10650" rel="nofollow">https://arxiv.org/abs/1905.10650</a>.</li></ul> <p data-svelte-h="svelte-19re0lg">ولمساعدتك على فهم واستخدام هذه الميزات بسهولة، أضفنا مثالًا برمجيًا محددًا: <a href="https://github.com/huggingface/transformers/tree/main/examples/research_projects/bertology/run_bertology.py" rel="nofollow">bertology.py</a> أثناء استخراج المعلومات وتقليص من نموذج تم تدريبه مسبقًا على GLUE.</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/transformers/blob/main/docs/source/ar/bertology.md" target="_blank"><span data-svelte-h="svelte-1kd6by1">&lt;</span> <span data-svelte-h="svelte-x0xyl0">&gt;</span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p>
<script>
{
__sveltekit_1x8g0d4 = {
assets: "/docs/transformers/pr_33913/ar",
base: "/docs/transformers/pr_33913/ar",
env: {}
};
const element = document.currentScript.parentElement;
const data = [null,null];
Promise.all([
import("/docs/transformers/pr_33913/ar/_app/immutable/entry/start.a2b1508c.js"),
import("/docs/transformers/pr_33913/ar/_app/immutable/entry/app.72eb63b7.js")
]).then(([kit, app]) => {
kit.start(app, element, {
node_ids: [0, 6],
data,
form: null,
error: null
});
});
}
</script>

Xet Storage Details

Size:
6.43 kB
·
Xet hash:
2a2b486afdcaeea7917256c9cc9443b823345bba527f3c406887c8140dd6def7

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.