marcosgg
/

bert-base-gl-SLI-NER

Token Classification

Inference Endpoints

Model card Files Files and versions Community

marcosgg commited on Dec 5, 2022

Commit

9fb0d03

•

1 Parent(s): d976cdd

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -13,6 +13,6 @@ widget:
 # Named Entity Recognition (NER) model for Galician
-This is a NER model for Galician (ILG/RAG spelling) which uses the standard `enamex' classes: LOC (geographical locations); PER (people); ORG (organizations); MISC (other entities).
 The model is based on [BERT-base-gl-cased](https://huggingface.co/marcosgg/bert-base-gl-cased), which has been fine-tuned using custom splits of the [SLI_NERC dataset](https://github.com/xavier-gz/SLI_Galician_Corpora). On the test split of this dataset (not used for training), the model obtained the following results (Precision/Recall/F-score): 87.69 / 89.7 / 88.68.

 # Named Entity Recognition (NER) model for Galician
+This is a NER model for Galician (ILG/RAG spelling) which uses the standard 'enamex' classes: LOC (geographical locations); PER (people); ORG (organizations); MISC (other entities).
 The model is based on [BERT-base-gl-cased](https://huggingface.co/marcosgg/bert-base-gl-cased), which has been fine-tuned using custom splits of the [SLI_NERC dataset](https://github.com/xavier-gz/SLI_Galician_Corpora). On the test split of this dataset (not used for training), the model obtained the following results (Precision/Recall/F-score): 87.69 / 89.7 / 88.68.