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pegasus-neutralization
paangulo/pegasus-neutralization
pegasus-neutralization is a machine learning model from paangulo. 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
- t5
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026
- SHA
- 69083f82
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-neutralization
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0591
- Bleu: 53.8853
- Gen Len: 18.5417
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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.2739 | 1.0 | 879 | 0.0712 | 53.1688 | 18.5312 |
| 0.1131 | 2.0 | 1758 | 0.0591 | 53.8853 | 18.5417 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Feb 25, 2026
- Updated
- Feb 25, 2026