Update README.md

README.md

@@ -1,10 +1,3 @@
----
-base_model: Qwen/Qwen3-4B
-library_name: peft
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-
-# Model Card for Model ID
-
 This is a fine-tuned version of [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) trained using the **MedVAL** framework for assessing AI-generated medical text. Given a medical text input and a corresponding AI–generated output, this model performs detailed error assessment and assigns a risk grade.
 
 
@@ -20,7 +13,7 @@ This is a fine-tuned version of [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B)
 - **Framework**: PEFT (QLoRA) via DSPy
 - **Precision**: bfloat16 (bf16) with 4-bit quantization
 - **License:** MIT License
-- **Finetuned from model [optional]:** Qwen3-4B
+- **Finetuned from model:** Qwen3-4B
 
 
 ### Developed by
@@ -31,11 +24,11 @@ This is a fine-tuned version of [Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B)
 
 
 - **Repository:** [GitHub](https://github.com/StanfordMIMI/MedVAL)
-- **Paper [optional]:** [More Information Needed]
+- **Paper:** [More Information Needed]
 
 ## Uses
 
-MedVAL-4B can be used to assess AI–generated medical text, providing a detailed error assessment and a risk grade that corresponds to a clinical risk category:
+MedVAL-4B can be used to assess AI-generated medical text, providing a detailed error assessment and a risk grade that corresponds to a clinical risk category:
 
 - **No risk (Level 1)**: 
 - **Low risk (Level 2)**