Update mode card to add testing results

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-sst-2-english_07112024T125645
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english) on the MR Analysis Phase-3 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5776
 - F1: 0.8426
@@ -76,7 +76,21 @@ The following hyperparameters were used during training:
 | 0.0376        | 19.0  | 2679 | 0.8233          | 0.8629 | 1e-07  |
 | 0.0376        | 20.0  | 2820 | 0.8235          | 0.8632 | 0.0    |
 
-
+### Testing Results
+
+|           class               | precision | recall | f1-score |
+|:------------------------:|:---------:|:------:|:--------:|
+| change_request           |    0.918  |  0.651 |   0.762  |
+| discussion_participation |   0.839   |  0.882 |    0.860 |
+| discussion_trigger   |   0.879   |  0.902 |    0.890 |
+| acknowledgement   |   0.847   |  0.920 |    0.882 |
+|  critical   |   0.686   |  0.940 |    0.793 |
+| reference   |   0.802   |  0.947 |    0.869 |
+| ----------- | ---------- | --------| --------- |
+|  **accuracy**   |           |        |    0.828 |
+|  **macro avg**   |  0.828    | 0.874  |   0.843  |
+|  **weighted avg**   |   0.845   |  0.828 |    0.825 |
+ 
 ### Framework versions
 
 - Transformers 4.44.2