Update README.md

README.md

@@ -25,6 +25,20 @@ pipeline_tag: automatic-speech-recognition
     - Trained for 6 epochs with a learning rate of 1e-4 and warmup steps of 100 without gradient accumulation.
 - **Evaluation Metrics:** Word Error Rate (WER)
 
+## Evaluation
+- **Testing Data**
+  - Test Data 1: LoFi Students (LEVI_LoFi_v2_TEST_punc+cased_student)
+  - Test Data 2: LoFi Tutors (LEVI_LoFi_v2_TEST_punc+cased_tutor)
+  - Test Data 3: HiFi Students (LEVI_orig11_HiFi_punc+cased_student)
+  - Test Data 4: HiFi Tutor (LEVI_orig11_HiFi_punc+cased_tutor)
+- **Metric**
+  - Word Error Rate (WER)
+- **Results**
+  - Test Data 1: 44.1%
+  - Test Data 2: 15.1%
+  - Test Data 3: 44.2%
+  - Test Data 4: 15.9%
+
 ## Usage
 - **Usage:** The model can be used for speech recognition tasks. Inputs should be audio files, and the model outputs transcriptions.