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README.md
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@@ -79,7 +79,7 @@ For the sentence classification task evaluation, the datasets JSTS, JNLI, and JC
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Evaluation code can be found at https://github.com/speed1313/bert-eval
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| Model | JSTS | JNLI | JCoLA | Avg(JGLUE) | miracl | Avg |
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|------------------------------------------------|--------|--------|---------|--------------|----------|--------|
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| tohoku-nlp/bert-base-japanese-v3 | 0.9196 | 0.9117 | 0.8798 | 0.9037 | 0.74 | 0.8628 |
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| sbintuitions/modernbert-ja-130m | 0.9159 | 0.9273 | 0.8682 | 0.9038 | 0.5069 | 0.8046 |
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Evaluation code can be found at https://github.com/speed1313/bert-eval
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| Model | JSTS (pearson) | JNLI(acc) | JCoLA(acc) | Avg(JGLUE) | miracl(recall@10) | Avg |
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|------------------------------------------------|--------|--------|---------|--------------|----------|--------|
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| tohoku-nlp/bert-base-japanese-v3 | 0.9196 | 0.9117 | 0.8798 | 0.9037 | 0.74 | 0.8628 |
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| sbintuitions/modernbert-ja-130m | 0.9159 | 0.9273 | 0.8682 | 0.9038 | 0.5069 | 0.8046 |
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