Update README.md

README.md

@@ -1,20 +1,20 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: answerdotai/ModernBERT-base
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: Fin-ModernBERT
-  results: []
-datasets:
-- clapAI/FinData-dedup
-language:
-- en
-pipeline_tag: fill-mask
----
+---
+library_name: transformers
+license: apache-2.0
+base_model: answerdotai/ModernBERT-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Fin-ModernBERT
+  results: []
+datasets:
+- clapAI/FinData-dedup
+language:
+- en
+pipeline_tag: fill-mask
+---
 
 <!-- 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. -->
@@ -71,9 +71,26 @@ The following hyperparameters were used during training:
 
 ## Evaluation Benchmarks
 
-We evaluated **Fin-ModernBERT** on financial NLP benchmarks and compared it against general-purpose pretrained models:
+We benchmarked **Fin-ModernBERT** against two strong baselines:  
+- [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert)  
+- [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base)  
+
+### Fine-tuning Setup
+All models were fine-tuned under the same configuration:  
+- **Optimizer:** AdamW  
+- **Learning rate:** 5e-5  
+- **Batch size:** 16  
+- **Epochs:** 5  
+- **Scheduler:** Linear  
+
+### Results
+
+| Dataset | Metric | FinBERT (ProsusAI) | ModernBERT-base | Fin-ModernBERT |
+|---------|--------|---------------------|-----------------|----------------|
+| CIKM (datht/fin-cikm) | F1-score | 42.77 | 53.08 | **54.89** |
+| PhraseBank (soumakchak/phrasebank) | F1-score | 86.33 | 85.03 | **88.09** |
 
-Updating
+> Further evaluations on additional datasets and tasks are ongoing to provide a more comprehensive view of its performance.
 
 
 ---