Update experimental results

README.md

@@ -140,10 +140,10 @@ We follow the original English BERT model's hyperparameters for pre-training, un
 
 | Task                 | Dataset         | Variant | Mix   | CA    | DA    | MSA   | MSA-1/2 | MSA-1/4 | MSA-1/8 | MSA-1/16 |
 | -------------------- | --------------- | ------- | ----- | ----- | ----- | ----- | ------- | ------- | ------- | -------- |
-| NER                  | ANERcorp        | MSA     | 80.2% | 66.2% | 74.2% | 82.4% | 82.3%   | 82.0%   | 82.3%   | 80.5%    |
-| POS                  | PATB (MSA)      | MSA     | 97.3% | 96.6% | 96.5% | 97.4% | 97.4%   | 97.4%   | 97.4%   | 97.4%    |
-|                      | ARZTB (EGY)     | DA      | 90.1% | 88.6% | 89.4% | 90.8% | 90.3%   | 90.5%   | 90.5%   | 90.4%    |
-|                      | Gumar (GLF)     | DA      | 97.3% | 96.5% | 97.0% | 97.1% | 97.0%   | 97.0%   | 97.1%   | 97.0%    |
+| NER                  | ANERcorp        | MSA     | 80.8% | 67.9% | 74.1% | 82.4% | 82.0%   | 82.1%   | 82.6%   | 80.8%    |
+| POS                  | PATB (MSA)      | MSA     | 98.1% | 97.8% | 97.7% | 98.3% | 98.2%   | 98.3%   | 98.2%   | 98.2%    |
+|                      | ARZTB (EGY)     | DA      | 93.6% | 92.3% | 92.7% | 93.6% | 93.6%   | 93.7%   | 93.6%   | 93.6%    |
+|                      | Gumar (GLF)     | DA      | 97.3% | 97.7% | 97.9% | 97.9% | 97.9%   | 97.9%   | 97.9%   | 97.9%    |
 | SA                   | ASTD            | MSA     | 76.3% | 69.4% | 74.6% | 76.9% | 76.0%   | 76.8%   | 76.7%   | 75.3%    |
 |                      | ArSAS           | MSA     | 92.7% | 89.4% | 91.8% | 93.0% | 92.6%   | 92.5%   | 92.5%   | 92.3%    |
 |                      | SemEval         | MSA     | 69.0% | 58.5% | 68.4% | 72.1% | 70.7%   | 72.8%   | 71.6%   | 71.2%    |
@@ -156,10 +156,10 @@ We follow the original English BERT model's hyperparameters for pre-training, un
 ### Results (Average)
 |                      | Variant | Mix   | CA    | DA    | MSA   | MSA-1/2 | MSA-1/4 | MSA-1/8 | MSA-1/16 |
 | -------------------- | ------- | ----- | ----- | ----- | ----- | ------- | ------- | ------- | -------- |
-| Variant-wise-average<sup>[[1]](#footnote-1)</sup> | MSA     | 81.9% | 75.3% | 79.9% | 83.2% | 82.9%   | 83.1%   | 83.0%   | 82.1%    |
-|                      | DA      | 73.5% | 71.1% | 72.1% | 73.5% | 73.1%   | 73.4%   | 73.3%   | 73.1%    |
+| Variant-wise-average<sup>[[1]](#footnote-1)</sup> | MSA     | 82.1% | 75.7% | 80.1% | 83.4% | 83.0%   | 83.3%   | 83.2%   | 82.3%    |
+|                      | DA      | 74.4% | 72.1% | 72.9% | 74.2% | 74.0%   | 74.3%   | 74.1%   | 73.9%    |
 |                      | CA      | 79.8% | 80.9% | 79.6% | 79.7% | 79.9%   | 80.0%   | 79.7%   | 79.8%    |
-| Macro-Average        | ALL     | 78.2% | 74.0% | 76.6% | 78.9% | 78.6%   | 78.8%   | 78.7%   | 78.2%    |
+| Macro-Average        | ALL     | 78.7% | 74.7% | 77.1% | 79.2% | 79.0%   | 79.2%   | 79.1%   | 78.6%    |
 
 <a name="footnote-1">[1]</a>: Variant-wise-average refers to average over a group of tasks in the same language variant.