v2

README.md

@@ -4,10 +4,48 @@ datasets:
 - ArchitRastogi/Italian-BERT-FineTuning-Embeddings
 language:
 - it
+metrics:
+- Recall@1
+- Recall@100
+- Recall@1000
+- Average Precision
+- NDCG@10
+- NDCG@100
+- NDCG@1000
+- MRR@10
+- MRR@100
+- MRR@1000
 base_model:
 - dbmdz/bert-base-italian-xxl-uncased
+new_version: "true"
+pipeline_tag: feature-extraction
+library_name: transformers
+tags:
+- information-retrieval
+- contrastive-learning
+- embeddings
+- italian
+- fine-tuned
+- bert
+- retrieval-augmented-generation
+model-index:
+  - name: bert-base-italian-embeddings
+    results:
+      - task:
+          type: information-retrieval
+        dataset:
+          name: mMARCO
+          type: mMARCO
+        metrics:
+          - name: Recall@1000
+            type: Recall
+            value: 0.9719
+        source:
+          name: Fine-tuned Italian BERT Model Evaluation
+          url: https://github.com/unicamp-dl/mMARCO
 ---
 
+
 # bert-base-italian-embeddings: A Fine-Tuned Italian BERT Model for IR and RAG Applications
 
 ## Model Overview