add table with baselines

README.md

@@ -142,9 +142,16 @@ test_df = load_dataset('sagteam/author_profiling', split='test')
 
 This dataset is intended for multi-class and multi-label text classification.
 
-The baseline models currently achieve the following F1 metrics scores (table):
-
-=== coming soon ===
+The baseline models currently achieve the following F1-weighted metrics scores (table):
+
+|      Model name     | gender | age_group | gender_imitation | age_imitation | style_imitation | no_imitation | average |
+| ------------------- | ------ | --------- | ---------------- | ------------- | --------------- | ------------ | ------- |
+| Dummy-stratified    |  0.49  |   0.29    |      0.56        |     0.32      |      0.57       |     0.55     |  0.46   |
+| Dummy-uniform       |  0.49  |   0.23    |      0.51        |     0.32      |      0.51       |     0.51     |  0.43   |
+| Dummy-most_frequent |  0.34  |   0.27    |      0.53        |     0.17      |      0.53       |     0.53     |  0.40   |
+| LinearSVC + TF-IDF  |  0.67  |   0.37    |      0.62        |     0.72      |      0.71       |     0.71     |  0.63   |
+| LinearSVC + TF-IDF  |  0.67  |   0.37    |      0.62        |     0.72      |      0.71       |     0.71     |  0.63   |
+| ------------------- | ------ | --------- | ---------------- | ------------- | --------------- | ------------ | ------- |
 
 ### Languages