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@@ -16,8 +16,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad) on a private dataset of out-of-office emails tagged with the exact phrase which contains the out-of-office context.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.3629
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- - Epoch: 1
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  ## Model description
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  | Train Loss | Epoch |
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  |:----------:|:-----:|
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- | 0.5315 | 0 |
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- | 0.3629 | 1 |
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-
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  ### Framework versions
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  This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad) on a private dataset of out-of-office emails tagged with the exact phrase which contains the out-of-office context.
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  It achieves the following results on the evaluation set:
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+ - Eval Loss (during training): 0.2761, Epochs : 3
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+ - Jaccard Score on test set of tagged out-of-office phrases : ~ 94%
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  ## Model description
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  | Train Loss | Epoch |
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  |:----------:|:-----:|
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+ | 0.5315 | 1 |
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+ | 0.3629 | 2 |
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+ | 0.2761 | 3 |
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  ### Framework versions
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