Update README.md

README.md

@@ -20,12 +20,12 @@ Language(s) (NLP): Egyptian Arabic
 Finetuned from model: Modern Bert Base
 
 It achieves the following results on the evaluation set:
-- eval_loss: 2.5126
+- eval_loss: 2.2641
 - eval_runtime: 134.9987
 - eval_samples_per_second: 68.267
 - eval_steps_per_second: 8.533
-- epoch: 3
-- step: 120000
+- epoch: 4
+- step: 190000
 
 ## Training procedure
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - 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
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 3
+- num_epochs: 4
 
 ### Framework versions