Update README.md

README.md

@@ -1,20 +1,3 @@
-language:
-  - en
-license: apache-2.0
-datasets:
-  - hash-map/got_qa_pairs
-library_name: peft
-base_model: google/gemma-2-2b-it
-pipeline_tag: question-answering
-tags:
-  - question-answering
-  - text-generation
-  - got
-  - game-of-thrones
-  - qlora
-  - peft
-  - transformers
-inference: false
 
 # Game of Thrones Q&A Model (PEFT / QLoRA fine-tuned)
 
@@ -114,19 +97,6 @@ context = retrieve_2_contexts("Who killed Joffrey Baratheon?", token_to_ctx, con
 print(answer_question(context, "Who killed Joffrey Baratheon?"))
 ```
 
-## 🧪 Evaluation
-
-*(You should replace these placeholder values with your actual numbers after running evaluation)*
-
-| Metric          | Value   | Notes                                 |
-|-----------------|---------|---------------------------------------|
-| Exact Match (EM)| 0.68    | Strict string match after normalization |
-| F1 Score        | 0.79    | Token-level overlap                       |
-| BLEU            | —       | Not recommended for this task             |
-| ROUGE-L         | 0.74    | Useful for longer answers                 |
-
-Evaluation was (or should be) performed on a held-out portion of `hash-map/got_qa_pairs`.
-
 ## ⚠️ Bias, Risks & Limitations
 
 - **Domain limitation:** Extremely poor performance on non-GoT topics
@@ -144,11 +114,11 @@ Evaluation was (or should be) performed on a held-out portion of `hash-map/got_q
 
 ```bibtex
 @misc{got-qa-gemma2-2026,
-  author       = {Your Name / APPALA},
+  author       = {Appala Sai Sumanth},
   title        = {Gemma-2-2b-it Fine-tuned for Game of Thrones Question Answering},
   year         = {2026},
   publisher    = {Hugging Face},
-  howpublished = {\url{https://huggingface.co/your-username/gemma-2-2b-it-got-qa}}
+  howpublished = {\url{https://huggingface.co/hash-map/got_model}}
 }
 ```
 
@@ -159,10 +129,4 @@ Evaluation was (or should be) performed on a held-out portion of `hash-map/got_q
 - `torch` >= 2.1
 - `bitsandbytes` >= 0.43 (for 4-bit inference if desired)
 
----
-
-Good luck with your model!  
-Feel free to update evaluation numbers, add a live demo link (Spaces), upload an inference widget example, or improve the retrieval code when you have time.
-
-Replace `your-username` with your actual Hugging Face username.  
-If you want even more sections (environmental impact, detailed hyperparameters, etc.), let me know.
+---