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bart-large-xsum-sentence-paraphrased-10-cnt-supervised-basic
taiypeo/bart-large-xsum-sentence-paraphrased-10-cnt-supervised-basic
bart-large-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 6, 2025
- SHA
- a3637b28
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-large-xsum-sentence-paraphrased-10-cnt-supervised-basic
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1986
- Rouge1: 0.3258
- Rouge2: 0.1195
- Rougel: 0.2587
- Rougelsum: 0.2587
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 OptimizerNames.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 |
|---|---|---|---|---|---|---|---|
| 2.7279 | 1.6667 | 5 | 2.2952 | 0.1646 | 0.0223 | 0.1266 | 0.1265 |
| 1.9318 | 3.3333 | 10 | 2.0213 | 0.2401 | 0.0725 | 0.191 | 0.1909 |
| 1.4017 | 5.0 | 15 | 1.9251 | 0.3029 | 0.1091 | 0.2401 | 0.2401 |
| 1.2787 | 6.6667 | 20 | 1.9361 | 0.3227 | 0.1212 | 0.2564 | 0.2563 |
| 0.6613 | 8.3333 | 25 | 1.9616 | 0.3272 | 0.1226 | 0.2594 | 0.2594 |
| 0.6822 | 10.0 | 30 | 2.0036 | 0.3287 | 0.1238 | 0.2607 | 0.2607 |
| 0.5634 | 11.6667 | 35 | 2.0476 | 0.3298 | 0.1251 | 0.263 | 0.2629 |
| 0.418 | 13.3333 | 40 | 2.0928 | 0.3317 | 0.1253 | 0.2642 | 0.2641 |
| 0.3908 | 15.0 | 45 | 2.1372 | 0.328 | 0.1219 | 0.2608 | 0.2606 |
| 0.2241 | 16.6667 | 50 | 2.1689 | 0.3261 | 0.1208 | 0.2593 | 0.2593 |
| 0.2268 | 18.3333 | 55 | 2.1893 | 0.3251 | 0.1192 | 0.2586 | 0.2585 |
| 0.2135 | 20.0 | 60 | 2.1986 | 0.3258 | 0.1195 | 0.2587 | 0.2587 |
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 6, 2025