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@@ -7,12 +7,34 @@ metrics:
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  model-index:
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  - name: bert_uncased_L-2_H-128_A-2-mlm-multi-emails-hq
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  results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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- # bert_uncased_L-2_H-128_A-2-mlm-multi-emails-hq
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  This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
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  It achieves the following results on the evaluation set:
@@ -21,12 +43,12 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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  More information needed
 
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  model-index:
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  - name: bert_uncased_L-2_H-128_A-2-mlm-multi-emails-hq
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  results: []
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+ datasets:
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+ - postbot/multi-emails-hq
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+ language:
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+ - en
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+ pipeline_tag: fill-mask
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+ widget:
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+ - text: Can you please send me the [MASK] by the end of the day?
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+ example_title: end of day
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+ - text: >-
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+ I hope this email finds you well. I wanted to follow up on our [MASK]
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+ yesterday.
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+ example_title: follow-up
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+ - text: The meeting has been rescheduled to [MASK].
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+ example_title: reschedule
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+ - text: Please let me know if you need any further [MASK] regarding the project.
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+ example_title: further help
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+ - text: >-
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+ I appreciate your prompt response to my previous email. Can you provide an
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+ update on the [MASK] by tomorrow?
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+ example_title: provide update
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+ - text: Paris is the [MASK] of France.
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+ example_title: paris (default)
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+ - text: The goal of life is [MASK].
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+ example_title: goal of life (default)
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  ---
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+ # bert_uncased_L-2_H-128_A-2-mlm-multi-emails-hq (BERT-tiny)
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  This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
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  It achieves the following results on the evaluation set:
 
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  ## Model description
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+ BERT-tiny fine-tuned on email data for eight epochs.
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+ ## Intended uses & limitations
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+ - this is mostly a test
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  ## Training and evaluation data
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  More information needed