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  # electra-nli_finetuned
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- This model was trained from scratch on an unknown dataset.
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- It achieves the following results on the evaluation set:
 
 
 
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  ## Model description
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  ### Training hyperparameters
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- The following hyperparameters were used during training:
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- - optimizer: None
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- - training_precision: float32
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  ### Training results
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  ### Framework versions
 
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  # electra-nli_finetuned
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+ The model base is [electra-small](google/electra-small-discriminator).
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+ It has been fine-tuned on: [snli](https://huggingface.co/datasets/snli), [scitail](https://huggingface.co/datasets/scitail),
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+ [wanli](https://huggingface.co/datasets/alisawuffles/WANLI),
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+ [mnli](https://huggingface.co/datasets/multi_nli), [anli](https://huggingface.co/datasets/anli).
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  ## Model description
 
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  ### Training hyperparameters
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  ### Training results
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+ It achieved the following accuracy during training:
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+ snli: 89.15
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+ scitail: 90.08%
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+ wanli: 67.84%
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+ mnli: 81.95%
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+ fever-nli: 74.14%
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+ anli-r1_test: 46.60%
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+ anli-r2_test: 42.50%
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+ anli-r3_test: 43.08%
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  ### Framework versions