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README.md
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# 0.0005817742203362286]}
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### Training hyperparameters
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The following hyperparameters were used during training:
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# 0.0005817742203362286]}
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```
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### Eval results
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The model was evaluated using the test sets for MultiNLI and ANLI. The metric used is accuracy.
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|Datasets|mnli_test_m|mnli_test_mm|anli_test_r1|anli_test_r2|anli_test_r2|
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| :---: | :---: | :---: | :---: | :---: | :---: |
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|[e5-base-mnli](https://huggingface.co/mjwong/e5-base-mnli)|0.840|0.839|0.231|0.285|0.309|
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|[e5-large-mnli](https://huggingface.co/mjwong/e5-large-mnli)|0.868|0.869|0.301|0.296|0.294|
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|[e5-large-mnli-anli](https://huggingface.co/mjwong/e5-large-mnli-anli)|0.843|0.848|0.646|0.484|0.458|
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### Training hyperparameters
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The following hyperparameters were used during training:
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