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postbot/emailgen-pythia-410m-deduped

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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emailgen-pythia-410m-deduped

![colab](https://colab.research.google.com/gist/pszemraj/94b0e6b95437896f800a65ae2e5f9ab4/emailgen-pythia-410m-deduped.ipynb )

This model is a fine-tuned version of EleutherAI/pythia-410m-deduped on email data. It achieves the following results on the evaluation set:

  • —Loss: 2.1018
  • —Accuracy: 0.6157
  • —perplexity: 8.181

Model description

  • —fine-tuned on dataset of emails for 4 epochs
  • —intended use: "text completion" of partially written emails

Usage example

python
from transformers import pipeline

model_tag = "postbot/emailgen-pythia-410m-deduped"
generator = pipeline(
    "text-generation",
    model=model_tag,
)

prompt = """
Hello, 

Following up on the bubblegum shipment."""

result = generator(
    prompt,
)  # generate
print(result[0]["generated_text"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.26.65
ARC (25-shot)27.9
HellaSwag (10-shot)40.04
MMLU (5-shot)27.35
TruthfulQA (0-shot)38.2
Winogrande (5-shot)52.09
GSM8K (5-shot)0.0
DROP (3-shot)0.99