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fined-tuned-T5small

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metadata
language:
  - en
license: openrail
tags:
  - code
datasets:
  - multi_news
metrics:
  - rouge
pipeline_tag: summarization
model-index:
  - name: TinaLiHF/fined-tuned-T5small
    results:
      - task:
          type: summarization
          name: summarization
        dataset:
          name: multi_news
          type: multi_news
          split: validation
        metrics:
          - type: rouge
            value: 15.28
            name: ROUGE-1
          - type: rouge2
            value: 15.07
            name: ROUGE-2
          - type: rougel
            value: 1.68
            name: ROUGE-L
          - type: rougelsum
            value: 13.46
            name: ROUGE-LSUM

license: openrail datasets:

  • multi_news language:
  • en

Model Card for Model ID

Model Details

This is developed for the TLDR project of ANLP.

This is fine-tuned T5 small model with the Multi_news dataset, with adam optimiser.

Aim to summarise long articles into shorten summaries

Model Description

  • Developed by: Li, T
  • Shared by [optional]: [More Information Needed]
  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: https://huggingface.co/t5-small

Model Sources [optional]

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Uses

Direct 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.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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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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Summary

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).

  • Hardware Type: NVIDIA GeForce RTX 3060 Laptop GPU
  • Hours used: 3:06:45 Hr
  • Cloud Provider: [More Information Needed]
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  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

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Software

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