Update README.md

README.md

@@ -16,7 +16,7 @@ datasets:
 
 # Uploaded  model
 
-- **Compute sponsored by:** Nvidia, Arrow ECS Denmark through Danish Data Science Community
+- **Compute sponsored by:** Nvidia and Arrow ECS Denmark through Danish Data Science Community
 - **Developed by:** ThatsGroes
 - **License:** apache-2.0
 - **Finetuned from model :** meta-llama/Llama-3.1-70B-Instruct
@@ -25,4 +25,12 @@ LoRA adapter on Llama-3.1-70b loaded in 4-bit. Trained for 1 epoch with rank=lor
 
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
+We ended up using 62.52 GB GPU memory (79.00%), of which 23.83 GB (30.12%) was used for LoRa.
+
+[codecarbon INFO @ 11:07:59] Energy consumed for RAM : 2.574882 kWh. RAM Power : 188.78840446472168 W
+[codecarbon INFO @ 11:07:59] Energy consumed for all GPUs : 4.045188 kWh. Total GPU Power : 270.22211938762564 W
+[codecarbon INFO @ 11:07:59] Energy consumed for all CPUs : 0.579916 kWh. Total CPU Power : 42.5 W
+[codecarbon INFO @ 11:07:59] 7.199986 kWh of electricity used since the beginning.
+
+
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)