Create README.md

README.md

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+---
+license: apache-2.0
+base_model:
+- allenai/specter2_base
+pipeline_tag: text-classification
+library_name: transformers
+---
+
+# Technical Domain Classifier
+
+This model is a fine-tuned version of **allenai/specter2_base** for multilabel scientific domain classification aligned with **ERC panel taxonomy**.  
+It achieves the following results on the held-out test set:
+
+- **Best validation loss:** 0.0372  
+- **Micro F1:** 0.74
+  
+---
+
+## Model description
+
+This model is a fine-tuned variant of **SPECTER2** (`allenai/specter2_base`) adapted for **multilabel classification of scientific documents** into S3 technical domains.
+
+The model takes as input the **title and abstract** of a scientific project or publication and predicts **one or more domains**.  
+Since scientific outputs may legitimately span multiple domains, the model is trained using **sigmoid activation** with **binary cross-entropy loss**, allowing independent assignment of multiple labels.