---
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

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## 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

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- **Developed by:** Li, T
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- **Finetuned from model [optional]:** https://huggingface.co/t5-small

### Model Sources [optional]

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## Uses

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### Direct Use

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### Out-of-Scope Use

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### Recommendations

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## How to Get Started with the Model

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## Training Details

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### Training Procedure 

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#### Training Hyperparameters

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## Evaluation

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### Results

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#### Summary



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## Environmental Impact

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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:** NVIDIA GeForce RTX 3060 Laptop GPU
- **Hours used:** 3:06:45 Hr 
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## Technical Specifications [optional]

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