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bart-large-reddit_tifu-sentence-paraphrased-10-cnt-supervised-basic
taiypeo/bart-large-reddit_tifu-sentence-paraphrased-10-cnt-supervised-basic
bart-large-reddit_tifu-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 7, 2025
- Updated
- Dec 7, 2025
- SHA
- 7ea1d078
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-reddit_tifu-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: 3.4826
- Rouge1: 0.2091
- Rouge2: 0.0508
- Rougel: 0.1637
- Rougelsum: 0.1634
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 |
|---|---|---|---|---|---|---|---|
| 4.0417 | 1.6667 | 5 | 3.6114 | 0.1191 | 0.0147 | 0.0957 | 0.0958 |
| 3.079 | 3.3333 | 10 | 3.2036 | 0.1358 | 0.0211 | 0.1084 | 0.1083 |
| 2.1736 | 5.0 | 15 | 3.0838 | 0.1593 | 0.0327 | 0.1272 | 0.1271 |
| 1.8915 | 6.6667 | 20 | 3.0977 | 0.1792 | 0.0387 | 0.1425 | 0.1422 |
| 1.4258 | 8.3333 | 25 | 3.1460 | 0.1862 | 0.0404 | 0.1461 | 0.146 |
| 1.2427 | 10.0 | 30 | 3.1861 | 0.194 | 0.0448 | 0.1528 | 0.1527 |
| 0.9539 | 11.6667 | 35 | 3.2429 | 0.1962 | 0.0456 | 0.1545 | 0.1542 |
| 0.8726 | 13.3333 | 40 | 3.3101 | 0.2001 | 0.0479 | 0.1572 | 0.1571 |
| 0.6842 | 15.0 | 45 | 3.3727 | 0.2045 | 0.0493 | 0.1597 | 0.1594 |
| 0.5764 | 16.6667 | 50 | 3.4268 | 0.2062 | 0.0503 | 0.1608 | 0.1606 |
| 0.7363 | 18.3333 | 55 | 3.4660 | 0.2084 | 0.0504 | 0.1631 | 0.1629 |
| 0.4627 | 20.0 | 60 | 3.4826 | 0.2091 | 0.0508 | 0.1637 | 0.1634 |
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 7, 2025
- Updated
- Dec 7, 2025