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news_summarization
j-gc/news_summarization
news_summarization is a machine learning model from j-gc. 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
- t5
- Access
- Public
- Created
- Mar 9, 2024
- Updated
- Mar 11, 2024
- SHA
- 940e17e0
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. -->
j-gc/News_Summarization
It achieves the following results on the evaluation set:
- Train Loss: 1.8429
- Validation Loss: 1.6616
- Train Lr: 2e-05
- Epoch: 6
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': 2e-05, '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 | Train Lr | Epoch |
|---|---|---|---|
| 1.9276 | 1.6934 | 2e-05 | 0 |
| 1.8823 | 1.6807 | 2e-05 | 1 |
| 1.8644 | 1.6745 | 2e-05 | 2 |
| 1.8627 | 1.6671 | 2e-05 | 3 |
| 1.8604 | 1.6672 | 2e-05 | 4 |
| 1.8496 | 1.6631 | 2e-05 | 5 |
| 1.8429 | 1.6616 | 2e-05 | 6 |
Framework versions
- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 9, 2024
- Updated
- Mar 11, 2024