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bart-base-xsum-sentence-paraphrased-10-cnt-supervised-basic
taiypeo/bart-base-xsum-sentence-paraphrased-10-cnt-supervised-basic
bart-base-xsum-sentence-paraphrased-10-cnt-supervised-basic is a machine learning model from taiypeo. 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 5, 2025
- Updated
- Dec 5, 2025
- SHA
- fe2845d3
Base models
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-xsum-sentence-paraphrased-10-cnt-supervised-basic
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2974
- Rouge1: 0.2222
- Rouge2: 0.0562
- Rougel: 0.1744
- Rougelsum: 0.1743
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.5827 | 1.6667 | 5 | 2.9897 | 0.1514 | 0.0141 | 0.1163 | 0.1163 |
| 2.9585 | 3.3333 | 10 | 2.5352 | 0.1528 | 0.0152 | 0.1176 | 0.1176 |
| 2.3352 | 5.0 | 15 | 2.3523 | 0.168 | 0.0254 | 0.1304 | 0.1304 |
| 2.0399 | 6.6667 | 20 | 2.2857 | 0.1881 | 0.0372 | 0.1464 | 0.1464 |
| 1.5424 | 8.3333 | 25 | 2.2634 | 0.2007 | 0.0439 | 0.1564 | 0.1562 |
| 1.6209 | 10.0 | 30 | 2.2610 | 0.2079 | 0.0485 | 0.1632 | 0.1631 |
| 1.3376 | 11.6667 | 35 | 2.2648 | 0.2105 | 0.0497 | 0.1652 | 0.1651 |
| 1.2973 | 13.3333 | 40 | 2.2727 | 0.2133 | 0.052 | 0.1675 | 0.1674 |
| 1.1125 | 15.0 | 45 | 2.2819 | 0.2172 | 0.0539 | 0.1707 | 0.1708 |
| 1.129 | 16.6667 | 50 | 2.2901 | 0.2194 | 0.0546 | 0.1727 | 0.1728 |
| 1.1407 | 18.3333 | 55 | 2.2952 | 0.2217 | 0.0563 | 0.174 | 0.174 |
| 1.0031 | 20.0 | 60 | 2.2974 | 0.2222 | 0.0562 | 0.1744 | 0.1743 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Dec 5, 2025
- Updated
- Dec 5, 2025