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README.md

@@ -94,7 +94,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 5
-- Training steps: 7000
+- Training steps: 7200
 - Learning rate: 8e-05
   - Learning rate schedule: polynomial
   - Warmup steps: 100
@@ -121,7 +121,7 @@ You may reuse the base model text encoder for inference.
 ### marco-256
 - Repeats: 10
 - Total number of images: 34
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 2
 - Resolution: 0.065536 megapixels
 - Cropped: False
 - Crop style: None
@@ -193,7 +193,7 @@ You may reuse the base model text encoder for inference.
 ### marco-1440
 - Repeats: 10
 - Total number of images: 34
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 4
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None