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README.md
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#### Task-Specific Learning Rates
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| Dataset | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
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| XNLI | 3.6e-05 | 3.6e-05 | 2.8e-05 |
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| CodeComplexity | 3.6e-05 | 3.6e-05 | 1.0e-05 |
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| MathShepherd | 7.7e-05 | 2.8e-05 | 1.7e-05 |
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| Dataset | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
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| SeaHorse | 3.6e-05 | 3.6e-05 | 2.8e-05 |
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| SummevalMultilingual | 3.6e-05 | 2.8e-05 | 3.6e-05 |
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| WMT | 2.8e-05 | 2.8e-05 | 1.3e-05 |
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| Dataset | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
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| MIRACL | 4.6e-05 | 3.6e-05 | 2.8e-05 |
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#### Task-Specific Learning Rates
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##### Sequence Classification:
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| Dataset | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
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|--------------------------------------|----------------|----------------|----------------|
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| XNLI | 3.6e-05 | 3.6e-05 | 2.8e-05 |
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| CodeComplexity | 3.6e-05 | 3.6e-05 | 1.0e-05 |
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| MathShepherd | 7.7e-05 | 2.8e-05 | 1.7e-05 |
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##### Sequence Regression:
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| Dataset | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
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|--------------------------|----------------|----------------|----------------|
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| SeaHorse | 3.6e-05 | 3.6e-05 | 2.8e-05 |
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| SummevalMultilingual | 3.6e-05 | 2.8e-05 | 3.6e-05 |
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| WMT | 2.8e-05 | 2.8e-05 | 1.3e-05 |
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##### Retrieval:
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| Dataset | EuroBERT-210m | EuroBERT-610m | EuroBERT-2.1B |
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|-----------------------------------------|----------------|----------------|----------------|
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| MIRACL | 4.6e-05 | 3.6e-05 | 2.8e-05 |
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