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pegasus_regular_check
arthd24/pegasus_regular_check
pegasus_regular_check 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
- Mar 18, 2025
- Updated
- Mar 21, 2025
- SHA
- cb26be81
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_regular_check
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: 1.7589
- Validation Loss: 1.6254
- Epoch: 1
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': np.float32(2e-05), 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.9223 | 1.7277 | 0 |
| 1.7589 | 1.6254 | 1 |
Framework versions
- Transformers 4.50.0
- TensorFlow 2.18.0
- Datasets 3.4.1
- Tokenizers 0.21.0
- Library
- transformers
- Type
- pegasus
- License
- apache-2.0
- Created
- Mar 18, 2025
- Updated
- Mar 21, 2025