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README.md

@@ -93,8 +93,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 19
-- Training steps: 8000
+- Training epochs: 20
+- Training steps: 8250
 - Learning rate: 0.0001
   - Learning rate schedule: polynomial
   - Warmup steps: 200
@@ -140,7 +140,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-512
 - Repeats: 10
 - Total number of images: 16
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 6
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -149,7 +149,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-1024
 - Repeats: 10
 - Total number of images: 16
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 8
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None