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README.md

@@ -1,17 +1,9 @@
----
-base_model: meta-llama/Llama-2-7b-hf
-tags:
-- LoRA
-- bittensor
-- gradients
-license: apache-2.0
----
+# Modello addestrato: submission_instruct_006
+- Data: 2025-07-09T11:51:40.702293
+- Epochs: 2
+- Learning Rate: 1e-4
+- LoRA config: r=64, α=128
 
-# Submission for task `submission_instruct_006`
 
-🧠 Fine-tuned using LoRA on a dynamic dataset generated from LLaMA.
-
-- Task ID: `sim-instruct-006`
-- Repo: `submission_instruct_006`
-- Loss: `2.4597714705900713`
-- Timestamp: 2025-07-09T09:47:22.198595
+SHA256 del modello (model.safetensors):
+`238bf8909c1d373d93571890b67438ec1130ea05edd2f0a3556feba865061107`