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article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization
bthomas/article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization
article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization is a summarization model from bthomas. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mbart
- Access
- Public
- Created
- Aug 17, 2022
- Updated
- Aug 17, 2022
- SHA
- 51dc7fd0
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization
This model is a fine-tuned version of moussaKam/barthez-orangesum-title on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0775
- Rouge1: 0.2800
- Rouge2: 0.0762
- Rougel: 0.2806
- Rougelsum: 0.2803
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.6e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 1.6345 | 1.0 | 1996 | 1.3251 | 0.2815 | 0.0739 | 0.2816 | 0.2819 |
| 1.2016 | 2.0 | 3992 | 1.1740 | 0.2836 | 0.0727 | 0.2837 | 0.2838 |
| 1.0307 | 3.0 | 5988 | 1.1094 | 0.2874 | 0.0846 | 0.2879 | 0.2877 |
| 0.923 | 4.0 | 7984 | 1.0775 | 0.2800 | 0.0762 | 0.2806 | 0.2803 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.3.2
- Tokenizers 0.11.0
- Task
- Summarization
- Library
- transformers
- Type
- mbart
- License
- apache-2.0
- Created
- Aug 17, 2022
- Updated
- Aug 17, 2022