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pegasus_informative_canon_no_keyphrases_tpuv4-16
arthd24/pegasus_informative_canon_no_keyphrases_tpuv4-16
pegasus_informative_canon_no_keyphrases_tpuv4-16 is a machine learning model from arthd24. 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.
probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- pegasus
- Access
- Public
- Created
- May 30, 2025
- Updated
- May 30, 2025
- SHA
- bb1a937f
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
arthd24/pegasus_informative_canon_no_keyphrases_tpuv4-16
This model is a fine-tuned version of thonyyy/pegasus_indonesian_base-finetune on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.9531
- Validation Loss: 1.2852
- Epoch: 8
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.00016, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.5177 | 1.3416 | 0 |
| 1.3574 | 1.2958 | 1 |
| 1.2661 | 1.2772 | 2 |
| 1.1997 | 1.2608 | 3 |
| 1.1394 | 1.2570 | 4 |
| 1.0858 | 1.2544 | 5 |
| 1.0386 | 1.2590 | 6 |
| 0.9945 | 1.2777 | 7 |
| 0.9531 | 1.2852 | 8 |
Framework versions
- Transformers 4.51.3
- TensorFlow 2.16.1
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- pegasus
- License
- apache-2.0
- Created
- May 30, 2025
- Updated
- May 30, 2025