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README.md

@@ -110,7 +110,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 42
-- Training steps: 12700
+- Training steps: 12800
 - Learning rate: 3e-06
 - Effective batch size: 16
   - Micro-batch size: 1
@@ -232,7 +232,7 @@ You may reuse the base model text encoder for inference.
 ### default_dataset_arb1
 - Repeats: 0
 - Total number of images: 68
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 12
 - Resolution: 1.5 megapixels
 - Cropped: False
 - Crop style: None
@@ -256,7 +256,7 @@ You may reuse the base model text encoder for inference.
 ### default_dataset_arb3
 - Repeats: 0
 - Total number of images: 2167
-- Total number of aspect buckets: 6
+- Total number of aspect buckets: 2
 - Resolution: 1.5 megapixels
 - Cropped: False
 - Crop style: None
@@ -264,7 +264,7 @@ You may reuse the base model text encoder for inference.
 ### default_dataset_arb4
 - Repeats: 0
 - Total number of images: 2889
-- Total number of aspect buckets: 6
+- Total number of aspect buckets: 1
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None