<meta charset="utf-8" /><meta http-equiv="content-security-policy" content=""><meta name="hf:doc:metadata" content="{&quot;local&quot;:&quot;t5v11&quot;,&quot;sections&quot;:[{&quot;local&quot;:&quot;overview&quot;,&quot;title&quot;:&quot;Overview&quot;}],&quot;title&quot;:&quot;T5v1.1&quot;}" data-svelte="svelte-1phssyn">
	<link rel="modulepreload" href="/docs/transformers/pr_17548/en/_app/assets/pages/__layout.svelte-hf-doc-builder.css">
	<link rel="modulepreload" href="/docs/transformers/pr_17548/en/_app/start-hf-doc-builder.js">
	<link rel="modulepreload" href="/docs/transformers/pr_17548/en/_app/chunks/vendor-hf-doc-builder.js">
	<link rel="modulepreload" href="/docs/transformers/pr_17548/en/_app/chunks/paths-hf-doc-builder.js">
	<link rel="modulepreload" href="/docs/transformers/pr_17548/en/_app/pages/__layout.svelte-hf-doc-builder.js">
	<link rel="modulepreload" href="/docs/transformers/pr_17548/en/_app/pages/model_doc/t5v1.1.mdx-hf-doc-builder.js">
	<link rel="modulepreload" href="/docs/transformers/pr_17548/en/_app/chunks/IconCopyLink-hf-doc-builder.js">
	<link rel="modulepreload" href="/docs/transformers/pr_17548/en/_app/chunks/CodeBlock-hf-doc-builder.js"> 






<h1 class="relative group"><a id="t5v11" 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="#t5v11"><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>T5v1.1
	</span></h1>

<h2 class="relative group"><a id="overview" 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="#overview"><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>Overview
	</span></h2>

<p>T5v1.1 was released in the <a href="https://github.com/google-research/text-to-text-transfer-transformer/blob/main/released_checkpoints.md#t511" rel="nofollow">google-research/text-to-text-transfer-transformer</a>
repository by Colin Raffel et al. It’s an improved version of the original T5 model.</p>
<p>One can directly plug in the weights of T5v1.1 into a T5 model, like so:</p>

	<div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5   text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg>
	<div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div>
	Copied</div></button></div>
	<pre><!-- HTML_TAG_START --><span class="hljs-meta">&gt;&gt;&gt; </span><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> T5ForConditionalGeneration

<span class="hljs-meta">&gt;&gt;&gt; </span>model = T5ForConditionalGeneration.from_pretrained(<span class="hljs-string">&quot;google/t5-v1_1-base&quot;</span>)<!-- HTML_TAG_END --></pre></div>
<p>T5 Version 1.1 includes the following improvements compared to the original T5 model:</p>
<ul><li><p>GEGLU activation in the feed-forward hidden layer, rather than ReLU. See <a href="https://arxiv.org/abs/2002.05202" rel="nofollow">this paper</a>.</p></li>
<li><p>Dropout was turned off in pre-training (quality win). Dropout should be re-enabled during fine-tuning.</p></li>
<li><p>Pre-trained on C4 only without mixing in the downstream tasks.</p></li>
<li><p>No parameter sharing between the embedding and classifier layer.</p></li>
<li><p>“xl” and “xxl” replace “3B” and “11B”. The model shapes are a bit different - larger <code>d_model</code> and smaller
<code>num_heads</code> and <code>d_ff</code>.</p></li></ul>
<p>Note: T5 Version 1.1 was only pre-trained on <a href="https://huggingface.co/datasets/c4" rel="nofollow">C4</a> excluding any supervised
training. Therefore, this model has to be fine-tuned before it is useable on a downstream task, unlike the original T5
model. Since t5v1.1 was pre-trained unsupervisedly, there’s no real advantage to using a task prefix during single-task
fine-tuning. If you are doing multi-task fine-tuning, you should use a prefix.</p>
<p>Google has released the following variants:</p>
<ul><li><p><a href="https://huggingface.co/google/t5-v1_1-small" rel="nofollow">google/t5-v1_1-small</a></p></li>
<li><p><a href="https://huggingface.co/google/t5-v1_1-base" rel="nofollow">google/t5-v1_1-base</a></p></li>
<li><p><a href="https://huggingface.co/google/t5-v1_1-large" rel="nofollow">google/t5-v1_1-large</a></p></li>
<li><p><a href="https://huggingface.co/google/t5-v1_1-xl" rel="nofollow">google/t5-v1_1-xl</a></p></li>
<li><p><a href="https://huggingface.co/google/t5-v1_1-xxl" rel="nofollow">google/t5-v1_1-xxl</a>.</p></li></ul>
<p>One can refer to <a href="t5">T5’s documentation page</a> for all tips, code examples and notebooks.</p>
<p>This model was contributed by <a href="https://huggingface.co/patrickvonplaten" rel="nofollow">patrickvonplaten</a>. The original code can be
found <a href="https://github.com/google-research/text-to-text-transfer-transformer/blob/main/released_checkpoints.md#t511" rel="nofollow">here</a>.</p>


		<script type="module" data-hydrate="uqlzub">
		import { start } from "/docs/transformers/pr_17548/en/_app/start-hf-doc-builder.js";
		start({
			target: document.querySelector('[data-hydrate="uqlzub"]').parentNode,
			paths: {"base":"/docs/transformers/pr_17548/en","assets":"/docs/transformers/pr_17548/en"},
			session: {},
			route: false,
			spa: false,
			trailing_slash: "never",
			hydrate: {
				status: 200,
				error: null,
				nodes: [
					import("/docs/transformers/pr_17548/en/_app/pages/__layout.svelte-hf-doc-builder.js"),
						import("/docs/transformers/pr_17548/en/_app/pages/model_doc/t5v1.1.mdx-hf-doc-builder.js")
				],
				params: {}
			}
		});
	</script>
