Update results on README

README.md

@@ -130,7 +130,24 @@ Use the code below to get started with the model.
 
 ### Results
 
-[More Information Needed]
+
+Epoch	Training Loss	Validation Loss	Accuracy	F1
+1	0.073100	0.090870	0.982063	0.981749
+2	0.034800	0.070832	0.986547	0.986532
+3	0.010100	0.066102	0.991031	0.991009
+4	0.002600	0.082557	0.986547	0.986532
+5	0.001200	0.078924	0.986547	0.986532
+
+TrainOutput(global_step=560, training_loss=0.02437255925365857, metrics={'train_runtime': 496.0245, 'train_samples_per_second': 17.943, 'train_steps_per_second': 1.129, 'total_flos': 1179022923264000.0, 'train_loss': 0.02437255925365857, 'epoch': 5.0})
+
+Test set evaluation results:
+  eval_loss: 0.0272
+  eval_accuracy: 0.9910
+  eval_f1: 0.9910
+  eval_runtime: 3.8344
+  eval_samples_per_second: 57.8970
+  eval_steps_per_second: 3.6510
+  epoch: 5.0000
 
 #### Summary