language: en
license: mit
library_name: transformers
tags:
- summarization
- bart
datasets: ccdv/arxiv-summarization
model-index:
- name: arxiv-accelerate
results:
- task:
type: summarization
dataset:
name: arxiv-summarization
type: ccdv/arxiv-summarization
split: validation
metrics:
- type: rouge1
value: 40.86787138889241
- type: rouge2
value: 13.776447449801472
Model Card for Model ID
Table of Contents
- Model Details
- Uses
- Bias, Risks, and Limitations
- Training Details
- Evaluation
- Model Examination
- Environmental Impact
- Technical Specifications
- Citation
- Glossary
- More Information
- Model Card Authors
- Model Card Contact
- How To Get Started With the Model
Model Details
Model Description
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- Language(s) (NLP): en
- License: mit
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Uses
Direct Use
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
Training Details
Training Data
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Training Procedure [optional]
Preprocessing
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Speeds, Sizes, Times
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Model Examination [optional]
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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Software
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Citation [optional]
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How to Get Started with the Model
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