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@@ -9,36 +9,9 @@ license: apache-2.0
 
 # Submission for task `submission_test_readme_dynamic`
 
-🧠 Fine-tuned using LoRA on a dynamic dataset generated from RAG.
+🧠 Fine-tuned using LoRA on a dynamic dataset generated from LLaMA.
 
 - Task ID: `sim-task-readme-test-001`
 - Repo: `submission_test_readme_dynamic`
-- Loss: `4.868519306182861`
-- Timestamp: 2025-06-30T00:26:18.447831
----
-
-### LoRA Parameters
-- Rank: 8  
-- Alpha: 16  
-- Dropout: 0.1  
-- Epochs: 1  
-- Learning rate: 1e-4  
-- Batch size: 1
-
-### Example
-**Instruction:**  
-Come si calcola la derivata di \( x^2 \)?  
-
-**Response:**  
-La derivata di \( x^2 \) rispetto a \( x \) è \( 2x \).
-
-### Training Info
-This LoRA adapter was trained using a dataset dynamically generated from RAG (FAISS index) based on the task theme.  
-The dataset consisted of 35 prompt-response examples related to mathematics and programming.
-
-The adapter was trained on CPU in ~7 minutes and uploaded automatically via Hugging Face API.
----
-
-### License and Usage
-This adapter inherits the license and intended usage of the base model Meta LLaMA 2 (Meta AI License),  
-and is provided here for research purposes only as part of the Bittensor Subnet 56 participation.
+- Loss: `4.466731508572896`
+- Timestamp: 2025-07-06T15:55:24.324342