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README.md

@@ -70,16 +70,16 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 49
-- Training steps: 400
+- Training epochs: 2
+- Training steps: 50
 - Learning rate: 0.0001
   - Learning rate schedule: constant
   - Warmup steps: 0
 - Max grad value: 2.0
-- Effective batch size: 3
+- Effective batch size: 1
   - Micro-batch size: 1
   - Gradient accumulation steps: 1
-  - Number of GPUs: 3
+  - Number of GPUs: 1
 - Gradient checkpointing: True
 - Prediction type: epsilon (extra parameters=['training_scheduler_timestep_spacing=trailing', 'inference_scheduler_timestep_spacing=trailing'])
 - Optimizer: bnb-lion8bit
@@ -98,7 +98,7 @@ You may reuse the base model text encoder for inference.
 
 ### antelope-data
 - Repeats: 0
-- Total number of images: ~24
+- Total number of images: 24
 - Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: True