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README.md

@@ -94,8 +94,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 15
-- Training steps: 9000
+- Training epochs: 16
+- Training steps: 9100
 - Learning rate: 0.0006
 - Max grad norm: 0.1
 - Effective batch size: 3
@@ -138,7 +138,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-nocrops-512
 - Repeats: 11
 - Total number of images: 49
-- Total number of aspect buckets: 7
+- Total number of aspect buckets: 1
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -147,7 +147,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-nocrops-768
 - Repeats: 11
 - Total number of images: 49
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 5
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -156,7 +156,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-nocrops-1024
 - Repeats: 5
 - Total number of images: 49
-- Total number of aspect buckets: 10
+- Total number of aspect buckets: 6
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None