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README.md

@@ -139,8 +139,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 12
-- Training steps: 4000
+- Training epochs: 15
+- Training steps: 5000
 - Learning rate: 0.0001
 - Max grad norm: 0.01
 - Effective batch size: 12
@@ -184,7 +184,7 @@ You may reuse the base model text encoder for inference.
 ### reg-512
 - Repeats: 0
 - Total number of images: ~288
-- Total number of aspect buckets: 11
+- Total number of aspect buckets: 8
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -193,7 +193,7 @@ You may reuse the base model text encoder for inference.
 ### reg-1024
 - Repeats: 0
 - Total number of images: ~291
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 3
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None