Update README.md

README.md

@@ -68,7 +68,7 @@ tags:
 * Stable Diffusion XL 1.0 model:
   * `1024x1024px`
   * Trained with 11 epochs of 280,000 images each
-  * Finetuned with 22 epochs of 40,000 images each
+  * Finetuned with 23 epochs of 40,000 images each
 * Compatible with [🤗 `diffusers`](https://huggingface.co/docs/diffusers/index)
 * Compatible with [`stable-diffusion-webui`](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
 * Fully open source crawl, dataset, curation, and training process:
@@ -107,4 +107,5 @@ For more examples, [continue here](PROMPT-EXAMPLES.md).
 * 11 epochs of [V3 curated dataset](https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-curated) samples resized to `< 1024x1024px` (maintain aspect ratio)
 * 16 epochs of [V3 finetuner dataset](https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-finetuner) samples resized to `< 1024x1024px` (maintain aspect ratio)
 * 6 epochs of [V3 finetuner dataset](https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-finetuner) samples resized to `< 1024x1024px` (maintain aspect ratio, randomly drop 70% of tags)
+* 1 epoch of [V3 finetuner dataset](https://huggingface.co/datasets/hearmeneigh/e621-rising-v3-finetuner) samples resized to `< 1024x1024px` (maintain aspect ratio, randomly drop 50% of tags) and learning rate set to `4e-5`
 * Tags for each sample are shuffled for each epoch