Add CER, hyperparameters, and training logs to README

README.md

@@ -28,6 +28,9 @@ model-index:
     - name: Cer
       type: cer
       value: 5.2331
+    - name: Real Time Factor
+      type: rtf
+      value: 0.0685
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -41,6 +44,7 @@ Note: ~1 hour of conversational speech was added to this dataset version.
 It achieves the following results on the evaluation set:
 - Wer: 22.2146
 - Cer: 5.2331
+- Real Time Factor: 0.0685
 
 ## Model description
 
@@ -73,7 +77,14 @@ More information needed
 
 ### Training hyperparameters
 
-More information needed
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: OptimizerNames.ADAMW_TORCH_FUSED
+- lr_scheduler_type: SchedulerType.LINEAR
+- num_epochs: 8
 
 ### Training results