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Unverified Commit 5668fdb0 authored by Noah Trenaman's avatar Noah Trenaman Committed by GitHub
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Update XLM-RoBERTa details (#7669)

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docs/source/pretrained_models.rst
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...@@ -294,10 +294,10 @@ For a list that includes community-uploaded models, refer to `https://huggingfac ...@@ -294,10 +294,10 @@ For a list that includes community-uploaded models, refer to `https://huggingfac
| | ``t5-11B`` | | ~11B parameters with 24-layers, 1024-hidden-state, 65536 feed-forward hidden-state, 128-heads, | | | ``t5-11B`` | | ~11B parameters with 24-layers, 1024-hidden-state, 65536 feed-forward hidden-state, 128-heads, |
| | | | Trained on English text: the Colossal Clean Crawled Corpus (C4) | | | | | Trained on English text: the Colossal Clean Crawled Corpus (C4) |
+--------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ +--------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| XLM-RoBERTa | ``xlm-roberta-base`` | | ~125M parameters with 12-layers, 768-hidden-state, 3072 feed-forward hidden-state, 8-heads, | | XLM-RoBERTa | ``xlm-roberta-base`` | | ~270M parameters with 12-layers, 768-hidden-state, 3072 feed-forward hidden-state, 8-heads, |
| | | | Trained on on 2.5 TB of newly created clean CommonCrawl data in 100 languages | | | | | Trained on on 2.5 TB of newly created clean CommonCrawl data in 100 languages |
| +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ | +------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| | ``xlm-roberta-large`` | | ~355M parameters with 24-layers, 1027-hidden-state, 4096 feed-forward hidden-state, 16-heads, | | | ``xlm-roberta-large`` | | ~550M parameters with 24-layers, 1024-hidden-state, 4096 feed-forward hidden-state, 16-heads, |
| | | | Trained on 2.5 TB of newly created clean CommonCrawl data in 100 languages | | | | | Trained on 2.5 TB of newly created clean CommonCrawl data in 100 languages |
+--------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+ +--------------------+------------------------------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------+
| FlauBERT | ``flaubert/flaubert_small_cased`` | | 6-layer, 512-hidden, 8-heads, 54M parameters | | FlauBERT | ``flaubert/flaubert_small_cased`` | | 6-layer, 512-hidden, 8-heads, 54M parameters |
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