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bart_large_summarise_v3
debbiesoon/bart_large_summarise_v3
bart_large_summarise_v3 is a machine learning model from debbiesoon. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Oct 27, 2022
- Updated
- Oct 30, 2022
- SHA
- 8050490b
Datasets
Model card
From the Hugging Face model README
This model is a fine-tuned version of facebook/bart-large-cnn on the multi_news dataset. It achieves the following results on the evaluation set:
- Loss: 4.1359
- Rouge1: 0.3914
- Rouge2: 0.1399
- Rougel: 0.2039
- Rougelsum: 0.3504
- Gen Len: 141.64
Model description
This model was created to generate summaries of news articles.
Intended uses & limitations
The model takes up to maximum article length of 1024 tokens and generates a summary of maximum length of 512 tokens.
Training and evaluation data
This model was trained on 1000 articles and summaries from the Multi-News dataset. https://arxiv.org/abs/1906.01749
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- label_smoothing_factor: 0.1
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Oct 27, 2022
- Updated
- Oct 30, 2022