Update README.md

README.md

@@ -28,32 +28,18 @@ It achieves the following results on the evaluation set:
 - eval_steps_per_second: 26.855
 - step: 0
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
+- learning_rate: 1e-5, 2e-5, 3e-5
+- train_batch_size: 16
 - eval_batch_size: 4
 - seed: 42
-- distributed_type: multi-GPU
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 3.0
-- mixed_precision_training: Native AMP
+- num_epochs: 10
+
+The best model was selected based on the highest accuracy, which is the key evaluation metric for this task.
 
 ### Framework versions