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TF-Finetuned-xsum
phoen1x/TF-Finetuned-xsum
TF-Finetuned-xsum is a summarization model from phoen1x. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
probably proofread and complete it, then remove this comment. --
All-time downloads
543
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Repo size
242 MB
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1
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Repo makeup
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 15, 2023
- Updated
- Feb 27, 2024
- SHA
- 2618c34e
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Datasets
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. -->
TF-Finetuned-xsum
This model is a fine-tuned version of t5-small on xsum dataset. It achieves the following results on the evaluation set:
- Train Loss:
- Validation Loss:
- Epoch:
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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, '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 |
|---|---|---|---|
| tf.Tensor(0.1999889, shape=(), dtype=float32) |
Framework versions
- Transformers 4.20.0
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.12.1
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Languages
- en
- Created
- May 15, 2023
- Updated
- Feb 27, 2024