Update README.md

README.md

@@ -20,11 +20,11 @@ tags:
 - PlantStresses
 - PlantResponses
 ---
-# 🌱 PlantBert: A Domain-Adapted Language Model for Plant Stress and Response NER
+# 🌱 PlantDeBERTa: A Domain-Adapted Language Model for Plant Stress and Response NER
 
 ## Model Description
 
-**PlantBert** is a DeBERTa-based transformer model fine-tuned for **Named Entity Recognition (NER)** in the plant sciences, with a focus on lentil (Lens culinaris) stress-response literature. 
+**PlantDeBERTa** is a DeBERTa-based transformer model fine-tuned for **Named Entity Recognition (NER)** in the plant sciences, with a focus on lentil (Lens culinaris) stress-response literature. 
 This model is part of a broader effort to enable structured knowledge extraction and ontology-aligned information retrieval in **agricultural and biological NLP**.
 
 The model was trained on a custom-annotated corpus grounded in the **Crop Ontology** and enriched with **part-of-speech (POS) tags and heuristic post-processing**. 
@@ -64,8 +64,8 @@ The model was evaluated on a domain-specific validation set and achieved the fol
 ```python
 from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
 
-model = AutoModelForTokenClassification.from_pretrained("PHENOMA/PlantBert")
-tokenizer = AutoTokenizer.from_pretrained("PHENOMA/PlantBert")
+model = AutoModelForTokenClassification.from_pretrained("PHENOMA/PlantDeBERTa")
+tokenizer = AutoTokenizer.from_pretrained("PHENOMA/PlantDeBERTa")
 
 ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer)
 
@@ -105,7 +105,7 @@ This model supports a custom label set, e.g.:
     
 ---
 ## 📚 Dataset
-PlantBert was trained on a corpus of 142 annotated abstracts related to lentil stress responses, curated from **ScienceDirect**, **SpringerLink**, **Scopus**, etc. 
+PlantDeBERTa was trained on a corpus of 142 annotated abstracts related to lentil stress responses, curated from **ScienceDirect**, **SpringerLink**, **Scopus**, etc. 
 Annotations were performed by plant science experts, ensuring semantic and ontological consistency.
 
   - **Annotation schema: Aligned with Crop Ontology**
@@ -129,8 +129,8 @@ This model is released under the MIT License.
 If you use this model in your research or application, please consider citing:
 
 ```bibtex
-@misc{khey2025plantbertopensourcelanguage,
-  title={PlantBert: An Open Source Language Model for Plant Science}, 
+  @misc{khey2025plantdebertaopensourcelanguage,
+  title={PlantDeBERTa: An Open Source Language Model for Plant Science}, 
   author={Hiba Khey and Amine Lakhder and Salma Rouichi and Imane El Ghabi and Kamal Hejjaoui and Younes En-nahli and Fahd Kalloubi and Moez Amri},
   year={2025},
   eprint={2506.08897},