Update README.md

README.md

@@ -5,6 +5,9 @@ datasets:
 base_model:
 - microsoft/mdeberta-v3-base
 pipeline_tag: text-classification
+tags:
+- multilingual
+- readability
 ---
 # DeBERTa V3 Base for Multilingual Readability Assessment
 
@@ -21,20 +24,12 @@ This is a fine-tuned version of the multilingual DeBERTa model (mdeberta) for as
 
 ## Performance
 
-Root mean squared error (RMSE) on 20% held-out validation set:
-
-| Model | RMSE |
-|-------|------|
-| mdeberta-readability | 1.063 |
+Root mean squared error (RMSE) on 20% held-out validation set: 1.063
 
 ## Training Data
 
-The model was trained on the agentlans/tatoeba-english-translations dataset, which contains translations of texts from various sources.
-
-**Sources:**
-- Tatoeba English Translations (agentlans/tatoeba-english-translations)
-
-For more details, please see [agentlans/tatoeba-english-translations](https://huggingface.co/datasets/agentlans/tatoeba-english-translations).
+The model was trained on [agentlans/tatoeba-english-translations](https://huggingface.co/datasets/agentlans/tatoeba-english-translations), 
+which contains translations of texts from various sources.
 
 ## Usage
 
@@ -48,4 +43,4 @@ For more details, please see [agentlans/tatoeba-english-translations](https://hu
 
 - Should not be used as the sole determinant of text suitability for specific audiences
 - Results may reflect biases present in the training data sources
-- Care should be taken when using these models in educational or publishing contexts
+- Care should be taken when using these models in educational or publishing contexts