Updated TODOs

Author: NumberChiffre

README.md

@@ -6,7 +6,7 @@
   <a href="https://www.python.org/downloads/release/python-3127/"><img src="https://img.shields.io/badge/-Python_3.12+-blue?logo=python&logoColor=white" alt="Python"></a>
   <a href="https://pypi.org/project/mcts-llm/"><img src="https://img.shields.io/pypi/v/mcts-llm.svg" alt="PyPI"></a>
   <a href="https://pepy.tech/project/mcts-llm"><img src="https://static.pepy.tech/badge/mcts-llm/month" alt="Downloads"></a>
-  <a href="https://github.com/stanfordnlp/dspy/releases/tag/2.4.17"><img src="https://img.shields.io/badge/dspy-2.4.17-blue" alt="DSPy"></a>
+  <a href="https://github.com/stanfordnlp/dspy/releases/tag/2.5.7"><img src="https://img.shields.io/badge/dspy-2.5.7-blue" alt="DSPy"></a>
   <a href="https://codecov.io/github/NumberChiffre/mcts-llm"><img src="https://codecov.io/github/NumberChiffre/mcts-llm/graph/badge.svg?token=zOL5kP7Xf9"/></a>
 </p>
 
@@ -120,12 +120,13 @@ Default hyperparameters:
 <br>
 
 ## 🚀 TODOs
-- Upgrade DSPy to >= 2.5.0.
-- Include datasets for evaluation such as MATH, AIME, Math Odyssey.
-- Fine-Tune optimal hyperparameters for MCTSr.
-- Fine-Tune with Llama3.1-8B.
-- Fine-Tune with Qwen2.5-7B.
-- Fine-Tune with DeepSeek-Chat as the prompting model and smaller LLMs with Ollama as the task model.
+- [x] Upgrade DSPy to >= 2.5.0.
+- [ ] Implement SC-MCTS*.
+- [ ] Include datasets for evaluation such as MATH, AIME, Math Odyssey.
+- [ ] Fine-Tune optimal hyperparameters for MCTSr.
+- [ ] Fine-Tune with Llama3.1-8B.
+- [ ] Fine-Tune with Qwen2.5-7B.
+- [ ] Fine-Tune with DeepSeek-Chat as the prompting model and smaller LLMs with Ollama as the task model.
 
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