Update README.md

README.md

@@ -45,22 +45,6 @@ Size: (Include the size of the dataset, e.g., the number of examples if availabl
 Annotations: Each example includes natural language input along with the expected SQL output, facilitating supervised learning.
 
 
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 3
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 24
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant
-- lr_scheduler_warmup_ratio: 0.03
-- lr_scheduler_warmup_steps: 15
-- num_epochs: 3
 
 ### Training results