Update README.md

README.md

@@ -4,14 +4,18 @@ tags:
 model-index:
 - name: XLM_normalization_BEST_MODEL
   results: []
+language:
+- es
+- en
+- it
+- fr
+- eu
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # XLM_normalization_BEST_MODEL
 
-This model was trained from scratch on the None dataset.
+This model was trained over the XLM-Large model for temporal expression normalization as a result of the paper "A Novel Methodology for Enhancing
+Cross-Language and Domain Adaptability in Temporal Expression Normalization"
 
 ## Model description
 
@@ -19,11 +23,12 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
+This model requires from extra post-processing. The proper code can be found at "https://github.com/asdc-s5/Temporal-expression-normalization-with-fill-mask"
 
 ## Training and evaluation data
 
-More information needed
+All the information about training, evaluation and benchmarking can be found in the paper "A Novel Methodology for Enhancing
+Cross-Language and Domain Adaptability in Temporal Expression Normalization"
 
 ## Training procedure
 
@@ -43,4 +48,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.1+cu121
 - Datasets 2.15.0
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0