Update README.md

README.md

@@ -7,32 +7,34 @@ tags:
 - full
 - generated_from_trainer
 model-index:
-- name: finance-rea-v4
+- name: ODA-Fin-SFT-8B
   results: []
 ---
 
-<!-- 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. -->
+# Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training
 
-# qwen3-fin-reasoning-v3
 
-This model is a fine-tuned version of [Qwen/Qwen3-8Bb968826d9c46dd6066d109eabc6255188de91218](https://huggingface.co/Qwen/Qwen3-8Bb968826d9c46dd6066d109eabc6255188de91218) on the finance-reasoning-v4-16k dataset.
 
-## Model description
+<div align="center">
 
-More information needed
+[![Paper](https://img.shields.io/badge/arXiv-Paper-red)](https://arxiv.org/abs/2601.21821)
+[![Homepage](https://img.shields.io/badge/Homepage-MMFineReason-blue)](https://mmfinereason.github.io/)
+[![Collections](https://img.shields.io/badge/🤗-Collections-yellow)](https://huggingface.co/collections/OpenDataArena/mmfinereason)
 
-## Intended uses & limitations
+</div>
 
-More information needed
 
-## Training and evaluation data
+![Alt text](main_performance.png)
 
-More information needed
 
-## Training procedure
+## 📖 Overview
 
-### Training hyperparameters
+This repository provides ODA-Fin-SFT-8B; detailed dataset information is available at https://huggingface.co/datasets/OpenDataArena/ODA-Fin-SFT-318k.
+
+
+## 📈 Main Performance
+
+<!-- ### Training hyperparameters
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
@@ -49,13 +51,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 3.0
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.55.0
 - Pytorch 2.6.0+cu124
 - Datasets 3.2.0
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0 -->