---
license: mit
datasets:
- EdinburghNLP/xsum
metrics:
- accuracy
base_model:
- mistralai/Mistral-7B-Instruct-v0.3
---

Lightweight LoRA adapter trained on the EdinburghNLP/XSum dataset for abstractive news summarization.

The adapter fine-tunes Mistral-7B-Instruct-v0.3 using ~50k training and 2k validation samples prepared via a summarization prompt.

Training used the following parameters:  
r=8,  
lora_alpha=16,  
lora_dropout=0.1,  
target_modules=["q_proj", "k_proj", "v_proj", "o_proj"]  

Adapters can be merged into the base model for inference using PeftModel.merge_and_unload().