Model: postbot/pythia-160m-hq-emails
Author: postbot
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, safetensors, gpt_neox, text-generation, generated_from_trainer, en, dataset:postbot/multi-emails-hq, base_model:EleutherAI/pythia-160m-deduped, base_model:finetune:EleutherAI/pythia-160m-deduped, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: EleutherAI/pythia-160m-deduped
Card metadata: language: 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 <NAME>,

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 <NAME>,

I hope this email finds you well. I wanted to reach out and ask about office hours
example_title: office hours, text: Greetings <NAME>,

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 <NAME>,

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 <NAME>,

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 <NAME> 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
inference: parameters: min_length: 16
max_length: 64
no_repeat_ngram_size: 4
do_sample: yes
top_k: 40
top_p: 0.95
repetition_penalty: 3.5
pipeline_tag: text-generation
base_model: EleutherAI/pythia-160m-deduped
model-index: name: pythia-160m-hq-emails-v4
results: task: type: text-generation
name: Causal Language Modeling
dataset: name: postbot/multi-emails-hq
type: postbot/multi-emails-hq
metrics: type: accuracy
value: 0.611281497151223
name: Accuracy
verified: no
Likes: 1 | All-time downloads: 10518
Created: 2023-01-29 03:21:11