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chenpangpang
transformers
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04976a32
Unverified
Commit
04976a32
authored
Sep 20, 2021
by
Ayaka Mikazuki
Committed by
GitHub
Sep 20, 2021
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Fix mT5 documentation (#13639)
* Fix MT5 documentation The abstract is incomplete * MT5 -> mT5
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docs/source/model_doc/mt5.rst
docs/source/model_doc/mt5.rst
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docs/source/model_doc/mt5.rst
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@@ -10,7 +10,7 @@
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
specific language governing permissions and limitations under the License.
M
T5
m
T5
-----------------------------------------------------------------------------------------------------------------------
Overview
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@@ -24,9 +24,11 @@ The abstract from the paper is the following:
*The recent "Text-to-Text Transfer Transformer" (T5) leveraged a unified text-to-text format and scale to attain
state-of-the-art results on a wide variety of English-language NLP tasks. In this paper, we introduce mT5, a
multilingual variant of T5 that was pre-trained on a new Common Crawl-based dataset covering 101 languages. We de
scribe
multilingual variant of T5 that was pre-trained on a new Common Crawl-based dataset covering 101 languages. We de
tail
the design and modified training of mT5 and demonstrate its state-of-the-art performance on many multilingual
benchmarks. All of the code and model checkpoints*
benchmarks. We also describe a simple technique to prevent "accidental translation" in the zero-shot setting, where a
generative model chooses to (partially) translate its prediction into the wrong language. All of the code and model
checkpoints used in this work are publicly available.*
Note: mT5 was only pre-trained on `mC4 <https://huggingface.co/datasets/mc4>`__ 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.
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