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README.md
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- opt
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- custom-license
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- no-commercial
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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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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-
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on
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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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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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