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README.md

@@ -59,8 +59,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 4
-- Training steps: 3000
+- Training epochs: 5
+- Training steps: 3500
 - Learning rate: 0.0001
 - Max grad norm: 0.01
 - Effective batch size: 1
@@ -103,7 +103,7 @@ You may reuse the base model text encoder for inference.
 ### my-dataset-512
 - Repeats: 10
 - Total number of images: 15
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 2
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -112,7 +112,7 @@ You may reuse the base model text encoder for inference.
 ### my-dataset-1024
 - Repeats: 10
 - Total number of images: 15
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None