Add evaluation metrics image

README.md

@@ -9,6 +9,9 @@ Because this was trained on Instruct, you can use the normal Instruct chat forma
 Trained on 4 4090s using [qlora-pipe](https://github.com/tdrussell/qlora-pipe).
 Dataset consists of about 800 books in the fiction genre, totaling 570 MB of raw text.
 Rank 64 QLoRA trained at 8192 sequence length.
+### Evaluation metrics
+
+<img src="https://i.imgur.com/sCMjix4.png" width="800" />
 
 ## Why no 8B?
 I tried multiple times to train this on Llama 3 8B Instruct, using a variety of hyperparameters. It never worked well. The model took a huge hit to intelligence every time, to the point of being unusable. 70B fared much better. I don't know why, maybe 8B is just too small for this type of technique, and loses too much of the instruction-tuned smarts.