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t5_summarization
yunhaeng/t5_summarization
t5_summarization is a machine learning model from yunhaeng. 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 11, 2023
- Updated
- Mar 11, 2023
- SHA
- 54aaaa94
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. -->
t5_summarization
This model is a fine-tuned version of psyche/KoT5-summarization on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1831
- Validation Loss: 0.1543
- Train Rougel: tf.Tensor(0.13621536, shape=(), dtype=float32)
- Epoch: 0
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': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rougel | Epoch |
|---|---|---|---|
| 0.1831 | 0.1543 | tf.Tensor(0.13621536, shape=(), dtype=float32) | 0 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 11, 2023
- Updated
- Mar 11, 2023