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pegasus-large-xsum-sentence-paraphrased-100-cnt-supervised-basic
taiypeo/pegasus-large-xsum-sentence-paraphrased-100-cnt-supervised-basic
pegasus-large-xsum-sentence-paraphrased-100-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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- pegasus
- Access
- Public
- Created
- Dec 9, 2025
- Updated
- Dec 9, 2025
- SHA
- 5b74412f
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. -->
pegasus-large-xsum-sentence-paraphrased-100-cnt-supervised-basic
This model is a fine-tuned version of google/pegasus-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6388
- Rouge1: 0.2113
- Rouge2: 0.0531
- Rougel: 0.1526
- Rougelsum: 0.1523
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.0023 | 1.0 | 25 | 2.4102 | 0.1788 | 0.0302 | 0.123 | 0.123 |
| 2.3072 | 2.0 | 50 | 2.1698 | 0.1797 | 0.0297 | 0.1238 | 0.1238 |
| 2.1662 | 3.0 | 75 | 1.9780 | 0.1808 | 0.0295 | 0.1256 | 0.1257 |
| 2.0193 | 4.0 | 100 | 1.8471 | 0.1823 | 0.0299 | 0.1268 | 0.127 |
| 1.8332 | 5.0 | 125 | 1.7396 | 0.186 | 0.0331 | 0.1297 | 0.1297 |
| 1.6996 | 6.0 | 150 | 1.6903 | 0.1914 | 0.0376 | 0.1342 | 0.1343 |
| 1.5925 | 7.0 | 175 | 1.6644 | 0.1998 | 0.044 | 0.1417 | 0.1417 |
| 1.8324 | 8.0 | 200 | 1.6507 | 0.2041 | 0.0478 | 0.1458 | 0.1456 |
| 1.5643 | 9.0 | 225 | 1.6416 | 0.2088 | 0.0515 | 0.1504 | 0.1502 |
| 1.5488 | 10.0 | 250 | 1.6388 | 0.2113 | 0.0531 | 0.1526 | 0.1523 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- pegasus
- Created
- Dec 9, 2025
- Updated
- Dec 9, 2025