Update README.md

README.md

@@ -100,7 +100,7 @@ Code:  [`low_rank_lora.py`](https://huggingface.co/sayakpaul/lower-rank-flux-lor
 ## SVD
 
 <details>
-<summary><h3>Results</h3></summary>
+<summary>Results</summary>
 
 ![image.png](https://huggingface.co/sayakpaul/lower-rank-flux-lora/resolve/main/images/How2Draw-V2_000002800_svd_collage_0.png)
 
@@ -117,7 +117,7 @@ Code:  [`low_rank_lora.py`](https://huggingface.co/sayakpaul/lower-rank-flux-lor
 Full SVD can be time-consuming. Truncated SVD is useful very large sparse matrices. We can use randomized SVD for none-to-negligible loss in quality but significantly faster speed. 
 
 <details>
-<summary>Resukts</summary>
+<summary>Results</summary>
 
 ![image.png](https://huggingface.co/sayakpaul/lower-rank-flux-lora/resolve/main/images/How2Draw-V2_000002800_rand_svd_collage_0.png)