Update README.md

README.md

@@ -5,17 +5,43 @@ tags:
 - transformers
 - unsloth
 - gemma3n
-license: apache-2.0
+license: mpl-2.0
 language:
 - en
+datasets:
+- acon96/Home-Assistant-Requests
 ---
 
-# Uploaded finetuned  model
-
+# HomeGem4Bn
 - **Developed by:** TitleOS
-- **License:** apache-2.0
+- **License:** mpl-2.0
 - **Finetuned from model :** unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit
+HomeGem is a first generation finetune of Gemma 3n e4b IT, for use as a conversational LLM controlling your Home Assistant environment. Finetuning was performed on an A100 SXM4, and finetuned using the acon96/Home-Assistant-Requests dataset.
+
+## Eval Results
+```
+Step 5: Displaying post-training statistics and evaluation loss...
+2797.18 seconds used for training.
+Peak reserved memory: 17.799 GB.
+Peak memory for training: 8.42 GB.
+
+--- Evaluation Loss Progression ---
+Step 20: Eval Loss = 2.0582
+Step 40: Eval Loss = 1.6810
+Step 60: Eval Loss = 1.5477
+Step 80: Eval Loss = 1.4737
+Step 100: Eval Loss = 1.4113
+Step 120: Eval Loss = 1.3982
+Step 140: Eval Loss = 1.4340
+Step 160: Eval Loss = 1.4325
+Step 180: Eval Loss = 1.4424
+Step 200: Eval Loss = 1.4442
 
-This gemma3n model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+--- Summary ---
+Initial Eval Loss: 2.0582
+Final Eval Loss:   1.4442
+Improvement:       0.6140
+---------------------------------
+```
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)