metadata

tags: autonlp
language: en
widget:
  - text: >-
      The scale, variety, and quantity of publicly-available NLP datasets has
      grown rapidly as researchers propose new tasks, larger models, and novel
      benchmarks. Datasets is a community library for contemporary NLP designed
      to support this ecosystem. Datasets aims to standardize end-user
      interfaces, versioning, and documentation, while providing a lightweight
      front-end that behaves similarly for small datasets as for internet-scale
      corpora. The design of the library incorporates a distributed,
      community-driven approach to adding datasets and documenting usage. After
      a year of development, the library now includes more than 650 unique
      datasets, has more than 250 contributors, and has helped support a variety
      of novel cross-dataset research projects and shared tasks. The library is
      available at https://github.com/huggingface/datasets.
datasets:
  - AryanLala/autonlp-data-Scientific_Title_Generator
co2_eq_emissions: 137.60574081887984

Model Trained Using AutoNLP

Model: Google's Pegasus (https://huggingface.co/google/pegasus-xsum)
Problem type: Summarization
Model ID: 34558227
CO2 Emissions (in grams): 137.60574081887984
Spaces: https://huggingface.co/spaces/TitleGenerators/ArxivTitleGenerator
Dataset: arXiv Dataset (https://www.kaggle.com/Cornell-University/arxiv)
Data subset used: https://huggingface.co/datasets/AryanLala/autonlp-data-Scientific_Title_Generator

Validation Metrics

Loss: 2.578599214553833
Rouge1: 44.8482
Rouge2: 24.4052
RougeL: 40.1716
RougeLsum: 40.1396
Gen Len: 11.4675

Social

LinkedIn: https://www.linkedin.com/in/aryanlala/
Twitter: https://twitter.com/AryanLala20

Usage

You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoNLP"}' https://api-inference.huggingface.co/AryanLala/autonlp-Scientific_Title_Generator-34558227