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clinical-t5
hossboll/clinical-t5
clinical-t5 is a summarization model from hossboll. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- May 5, 2024
- Updated
- May 7, 2024
- SHA
- c092f34a
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
clinical-t5
This is a finetuned T5-small model from Google, a checkpoint with 60 million parameters, for clinical note summarization. It was finetuned with the augmented-clinical-notes dataset, available in the Hugging Face.
Intended uses & limitations
The model was created for learning purposes. Hence, although being briefly evaluated in this notebook, it should be further refined.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Framework versions
- Transformers 4.30.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.13.3
- Task
- Summarization
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Languages
- en
- Created
- May 5, 2024
- Updated
- May 7, 2024