--- 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: 39.18958065605697 - type: rouge2 value: 14.757191612841252 --- # Model Card for Model ID # Table of Contents 1. [Model Details](#model-details) 2. [Uses](#uses) 3. [Bias, Risks, and Limitations](#bias-risks-and-limitations) 4. [Training Details](#training-details) 5. [Evaluation](#evaluation) 6. [Model Examination](#model-examination-optional) 7. [Environmental Impact](#environmental-impact) 8. [Technical Specifications](#technical-specifications-optional) 9. [Citation](#citation-optional) 10. [Glossary](#glossary-optional) 11. [More Information](#more-information-optional) 12. [Model Card Authors](#model-card-authors-optional) 13. [Model Card Contact](#model-card-contact) 14. [How To Get Started With the Model](#how-to-get-started-with-the-model) # Model Details ## Model Description - **Developed by:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** en - **License:** mit - **Finetuned from model [optional]:** [More Information Needed] - **Resources for more information:** [More Information Needed] # Uses ## Direct Use [More Information Needed] ## Downstream Use [optional] [More Information Needed] ## Out-of-Scope Use [More Information Needed] # Bias, Risks, and Limitations [More Information Needed] ## 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 [More Information Needed] ## Training Procedure [optional] ### Preprocessing [More Information Needed] ### Speeds, Sizes, Times [More Information Needed] # Evaluation ## Testing Data, Factors & Metrics ### Testing Data [More Information Needed] ### Factors [More Information Needed] ### Metrics [More Information Needed] ## Results [More Information Needed] # Model Examination [optional] [More Information Needed] # Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] # Technical Specifications [optional] ## Model Architecture and Objective [More Information Needed] ## Compute Infrastructure [More Information Needed] ### Hardware [More Information Needed] ### Software [More Information Needed] # Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] # Glossary [optional] [More Information Needed] # More Information [optional] [More Information Needed] # Model Card Authors [optional] [More Information Needed] # Model Card Contact [More Information Needed] # How to Get Started with the Model Use the code below to get started with the model.
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