julien-c HF staff commited on
Commit
d1aeabc
1 Parent(s): 108fd85

Migrate model card from transformers-repo

Browse files

Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/mys/electra-base-turkish-cased-ner/README.md

Files changed (1) hide show
  1. README.md +16 -0
README.md ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language: tr
3
+ ---
4
+
5
+ ## What is this
6
+
7
+ A NER model for Turkish with 48 categories trained on the dataset [Shrinked TWNERTC Turkish NER Data](https://www.kaggle.com/behcetsenturk/shrinked-twnertc-turkish-ner-data-by-kuzgunlar) by Behçet Şentürk, which is itself a filtered and cleaned version of the following automatically labeled dataset:
8
+
9
+ > Sahin, H. Bahadir; Eren, Mustafa Tolga; Tirkaz, Caglar; Sonmez, Ozan; Yildiz, Eray (2017), “English/Turkish Wikipedia Named-Entity Recognition and Text Categorization Dataset”, Mendeley Data, v1 http://dx.doi.org/10.17632/cdcztymf4k.1
10
+
11
+ ## Backbone model
12
+
13
+ The backbone model is [electra-base-turkish-cased-discriminator](https://huggingface.co/dbmdz/electra-base-turkish-cased-discriminator), and I finetuned it for token classification.
14
+
15
+ I'm continuing to figure out if it is possible to improve accuracy with this dataset, but it is already usable for non-critic applications. You can reach out to me on [Twitter](https://twitter.com/myusufsarigoz) for discussions and issues.
16
+ I will also release a notebook to finetune NER models with Shrinked TWNERTC as well as sample inference code to demonstrate what's possible with this model.