Update README.md

README.md

@@ -12,7 +12,7 @@ metrics:
 - accuracy
 pipeline_tag: text-classification
 widget:
-- text: "Speaker 1: This is really terrific work!"
+- text: "Speaker 1: This is really terrific work!</s>Speaker 2: Thanks!!"
 - text: "Speaker 1: These edits are terrible. Please review my comments above again.</s>Speaker 2: I reviewed your comments, which were not helpful. Roll up your sleeves and do some work."
 ---
 
@@ -93,9 +93,9 @@ where \\(w_c = \frac{N}{N_c}\\), where \\(N\\) denotes the number of examples in
 We evaluate accuracy at the individual utterance level and report the following results:
 | Split | Accuracy |
 |---|---|
-| Train | % |
-| Validation | % |
-| Test | % |
+| Train | 39.21% |
+| Validation | 35.04% |
+| Test | 37.25% |
 
 Without loss weighting, it is possible to achieve an accuracy of 45%.