Update README.md

README.md

@@ -32,26 +32,9 @@ More information needed
 
 ## Training procedure
 
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 1
-- eval_batch_size: 8
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 6
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 48
-- total_eval_batch_size: 48
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 3
-
 ### Training results
 
-
+:)
 
 ### Framework versions