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README.md

@@ -108,8 +108,8 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 3000
-- Learning rate: 7e-05
+- Training steps: 3100
+- Learning rate: 0.0001
 - Effective batch size: 16
   - Micro-batch size: 1
   - Gradient accumulation steps: 16
@@ -148,7 +148,7 @@ You may reuse the base model text encoder for inference.
 ### default_dataset_arb
 - Repeats: 9999
 - Total number of images: 41
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 11
 - Resolution: 1.33 megapixels
 - Cropped: False
 - Crop style: None
@@ -164,7 +164,7 @@ You may reuse the base model text encoder for inference.
 ### default_dataset_arb3
 - Repeats: 9999
 - Total number of images: 3220
-- Total number of aspect buckets: 11
+- Total number of aspect buckets: 44
 - Resolution: 1.33 megapixels
 - Cropped: False
 - Crop style: None