Update readme

README.md

@@ -62,15 +62,19 @@ The images are in color with dimensions between 100px and 2048px, inclusive.
 
 ### SFT
 
-TODO: details about fft & loss
+For SFT pre-training, the model was trained using full parameter fine-tuning for 2 epochs with a batch size of 2.
+
+![sft-loss](./assets/sft-loss.png)
 
 ### GRPO
 
-TODO: details about rslora & rewards
+For GRPO post-training, the model was trained using Rank Stabilized LoRA (r=256) for 1 epoch with 5 completions per prompt and a batch size of 30, then the adapter was merged back into the base at 16 bit precision.
+
+![grpo-reward](./assets/grpo-reward.png)
 
 ### Story
 
-For the more detailed story of how this model was trained, see [STORY.md](https://huggingface.co/boatbomber/NabuOCR/blob/main/STORY.md).
+For the more detailed story of how this model was trained, see [STORY.md](https://huggingface.co/boatbomber/NabuOCR/blob/main/STORY.md). To read the code used for training with the specific hyperparameters and reward functions, see [training/](https://huggingface.co/boatbomber/NabuOCR/blob/main/training).
 
 ## Performance