Quantization made by Richard Erkhov.
-
en
license: apache-2.0
tags:
-
generated_from_trainer
datasets:
-
postbot/multi-emails-hq
metrics:
-
accuracy
widget:
-
text: 'Good Morning Professor Beans,
Hope you are doing well. I just wanted to reach out and ask if differential calculus
will be on the exam'
example_title: email to prof
-
text: 'Hey ,
Thank you for signing up for my weekly newsletter. Before we get started, you''ll
have to confirm your email address.'
example_title: newsletter
-
text: 'Hi ,
I hope this email finds you well. I wanted to reach out and ask about office hours'
example_title: office hours
-
text: 'Greetings ,
I hope you had a splendid evening at the Company sausage eating festival. I am
reaching out because'
example_title: festival
-
text: 'Good Morning Harold,
I was wondering when the next'
example_title: event
-
text: URGENT - I need the TPS reports
example_title: URGENT
-
text: 'Hi Archibald,
I hope this email finds you extremely well.'
example_title: emails that find you
-
text: 'Hello there.
I just wanted to reach out and check in to'
example_title: checking in
-
text: 'Hello ,
I hope this email finds you well. I wanted to reach out and see if you''ve enjoyed
your time with us'
example_title: work well
-
text: 'Hi ,
I hope this email finds you well. I wanted to reach out and see if we could catch
up'
example_title: catch up
-
text: I'm and I just moved into the area and wanted to reach out and get
some details on where I could get groceries and
example_title: grocery
pipeline_tag: text-generation
base_model: EleutherAI/pythia-410m-deduped
model-index:
-
name: multi-emails-hq-pythia-410m-deduped-r1
results: []
This model is a fine-tuned version of
EleutherAI/pythia-410m-deduped on email data.
It achieves the following results on the evaluation set:
1from transformers import pipeline
2
3model_tag = "postbot/emailgen-pythia-410m-deduped"
4generator = pipeline(
5 "text-generation",
6 model=model_tag,
7)
8
9prompt = """
10Hello,
11
12Following up on the bubblegum shipment."""
13
14result = generator(
15 prompt,
16) # generate
17print(result[0]["generated_text"])
Detailed results can be found
here
