From 63a5399bc42fd4cae42f90354c5801354a2e30f6 Mon Sep 17 00:00:00 2001 From: Julien Chaumond Date: Mon, 10 Feb 2020 11:20:05 -0500 Subject: [PATCH] [model_cards] Specify language meta + thumbnail cc @tholor see #2799 --- model_cards/bert-base-german-cased-README.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/model_cards/bert-base-german-cased-README.md b/model_cards/bert-base-german-cased-README.md index 3b007dc034..8ca5c140c3 100644 --- a/model_cards/bert-base-german-cased-README.md +++ b/model_cards/bert-base-german-cased-README.md @@ -1,3 +1,8 @@ +--- +language: german +thumbnail: https://thumb.tildacdn.com/tild3330-3735-4461-b133-656238643834/-/format/webp/deepset_performance.png +--- + # German BERT ## Overview @@ -33,7 +38,7 @@ During training we monitored the loss and evaluated different model checkpoints - germEval18Fine: Macro f1 score for multiclass sentiment classification - germEval18coarse: Macro f1 score for binary sentiment classification -- germEval14: Seq f1 score for NER (file names deuutf.*) +- germEval14: Seq f1 score for NER (file names deuutf.\*) - CONLL03: Seq f1 score for NER - 10kGNAD: Accuracy for document classification