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llm-jp-modernbert-base

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speed commited on Mar 21

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@@ -78,11 +78,11 @@ For reference, Warner et al.'s ModernBERT uses 1.72T tokens for stage 1, 250B to
 JSTS, JNLI, and JCoLA from [JGLUE](https://aclanthology.org/2022.lrec-1.317/) were used.
 Evaluation code can be found at https://github.com/speed1313/bert-eval
-| Model                                                 |   JSTS (pearson) |   JNLI (accuracy) |   JCoLA(accuracy) |   Avg |
 |-------------------------------------------------------|--------|--------|---------|--------------|
 | tohoku-nlp/bert-base-japanese-v3                      |  0.920 |  0.912 |   0.880 |        0.904 |
 | sbintuitions/modernbert-ja-130m                       |  0.916 |  0.927 |   0.868 |        0.904 |
-| sbintuitions/modernbert-ja-310m                       |  0.932 |  0.933 |   0.883 |        0.916 |
-| speed/llm-jp-modernbert-base-v4-ja-stage2-200k        |  0.918 |  0.913 |   0.844 |        0.892 |

 JSTS, JNLI, and JCoLA from [JGLUE](https://aclanthology.org/2022.lrec-1.317/) were used.
 Evaluation code can be found at https://github.com/speed1313/bert-eval
+| Model                                                 |   JSTS (pearson) |   JNLI (accuracy) |   JCoLA (accuracy) |   Avg |
 |-------------------------------------------------------|--------|--------|---------|--------------|
 | tohoku-nlp/bert-base-japanese-v3                      |  0.920 |  0.912 |   0.880 |        0.904 |
 | sbintuitions/modernbert-ja-130m                       |  0.916 |  0.927 |   0.868 |        0.904 |
+| sbintuitions/modernbert-ja-310m                       |  **0.932** |  **0.933** |   **0.883** |        **0.916** |
+| **speed/llm-jp-modernbert-base-v4-ja-stage2-200k**        |  0.918 |  0.913 |   0.844 |        0.892 |