Update README.md

README.md

@@ -12,6 +12,13 @@ metrics:
 model-index:
 - name: langid-ner-multilingual-bert-gn-base-cased
   results: []
+datasets:
+- mmaguero/gua-spa-2023-task-1-2
+language:
+- gn
+- es
+- grn
+- gug
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,7 +26,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # langid-ner-multilingual-bert-gn-base-cased
 
-This model is a fine-tuned version of [mmaguero/multilingual-bert-gn-base-cased](https://huggingface.co/mmaguero/multilingual-bert-gn-base-cased) on the None dataset.
+This model is a fine-tuned version of [mmaguero/multilingual-bert-gn-base-cased](https://huggingface.co/mmaguero/multilingual-bert-gn-base-cased) on the  [task 1 and task 2 of GUA-SPA@IberLEF 2023 shared task](https://huggingface.co/datasets/mmaguero/gua-spa-2023-task-1-2) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5980
 - Precision: 0.7389
@@ -33,7 +40,8 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
+- NER (PER, LOC, ORG)
+- Token-based language identification (es, gn, mix, foreign)
 
 ## Training and evaluation data
 
@@ -83,4 +91,4 @@ The following hyperparameters were used during training:
 - Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
-- Tokenizers 0.22.1
+- Tokenizers 0.22.1