NOTE: there is currently a bug with huggingface API for OPT models. Please use the colab notebook to test :)

opt for email generation - 125m

Why write the rest of your email when you can generate it?

from transformers import pipeline
model_tag = "pszemraj/opt-125m-email-generation"
generator = pipeline(
              'text-generation', 
              model=model_tag, 
              use_fast=False,
              do_sample=False,
            )
            
prompt = """
Hello, 
Following up on the bubblegum shipment."""
generator(
    prompt,
    max_length=96,
) # generate

• colab notebook for testing/use

About

This model is a fine-tuned version of facebook/opt-125m on an aeslc dataset.

• Emails, phone numbers, etc., were attempted to be excluded in a dataset preparation step using clean-text in Python.
• Note that API is restricted to generating 64 tokens - you can generate longer emails by using this in a text-generation pipeline object

It achieves the following results on the evaluation set:

• Loss: 2.5552

Intended uses & limitations

• OPT models cannot be used commercially
• here is a GitHub gist for a script to generate emails in the console or to a text file.

Training and evaluation data

• the email_body field of train + validation (get more data) from the aeslc dataset.

Training results

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0+cu113
• Tokenizers 0.12.1