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bart-base-finetuned-xlsum-concat-multi-news
fanzru/bart-base-finetuned-xlsum-concat-multi-news
bart-base-finetuned-xlsum-concat-multi-news is a machine learning model from fanzru. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Dec 14, 2022
- Updated
- Dec 15, 2022
- SHA
- 93d619c5
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. -->
bart-base-finetuned-xlsum-concat-multi-news
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8355
- Rouge1: 36.5801
- Rouge2: 15.2796
- Rougel: 29.8088
- Rougelsum: 29.8631
- Gen Len: 19.5457
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6985 | 1.0 | 20543 | 1.8355 | 36.5801 | 15.2796 | 29.8088 | 29.8631 | 19.5457 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Dec 14, 2022
- Updated
- Dec 15, 2022