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README.md

@@ -80,7 +80,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 6
-- Training steps: 4800
+- Training steps: 5000
 - Learning rate: 0.00016
 - Max grad norm: 0.01
 - Effective batch size: 4
@@ -121,7 +121,7 @@ You may reuse the base model text encoder for inference.
 ### napoleon-512
 - Repeats: 10
 - Total number of images: ~84
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 6
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -130,7 +130,7 @@ You may reuse the base model text encoder for inference.
 ### napoleon-1024
 - Repeats: 10
 - Total number of images: ~60
-- Total number of aspect buckets: 7
+- Total number of aspect buckets: 3
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None