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@@ -5,8 +5,14 @@ tags:
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  - opt
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  - custom-license
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  - no-commercial
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-
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-
 
 
 
 
 
 
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  inference:
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  parameters:
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  min_length: 16
@@ -14,16 +20,15 @@ inference:
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  length_penalty: 0.7
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  no_repeat_ngram_size: 3
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  do_sample: False
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- num_beans: 8
 
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  repetition_penalty: 3.5
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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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- # opt-350m-emails-EOT_DS-aeslc_Ep-6_Bs-8
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- This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
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  ## Model description
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  - opt
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  - custom-license
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  - no-commercial
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+ datasets:
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+ - aeslc
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+
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+ widget:
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+ - text: "Hey <NAME>, Thank you for signing up to my weekly newsletter. Before we get started, you’ll have to confirm your email address."
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+ example_title: "newsletter"
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+ - text: "Hi <NAME>, I hope this email finds you well. Let me start by saying that I am a big fan of your work"
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+ example_title: "fan"
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  inference:
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  parameters:
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  min_length: 16
 
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  length_penalty: 0.7
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  no_repeat_ngram_size: 3
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  do_sample: False
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+ num_beams: 8
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+ early_stopping: True
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  repetition_penalty: 3.5
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  ---
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+ # opt for email generation - 350M
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+ This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the [aeslc](https://huggingface.co/datasets/aeslc) dataset for six epochs.
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  ## Model description
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