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t5-pubmed-20k
Chung-Fan/t5-pubmed-20k
t5-pubmed-20k is a machine learning model from Chung-Fan. 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 bsd-3-clause.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- bsd-3-clause
- Model type
- longt5
- Access
- Public
- Created
- Oct 2, 2024
- Updated
- Oct 2, 2024
- SHA
- fd0eef4d
Base models
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. -->
t5-pubmed-20k
This model is a fine-tuned version of pszemraj/long-t5-tglobal-base-16384-book-summary on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.6782
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:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.003 | 0.7477 | 500 | 3.6782 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- longt5
- License
- bsd-3-clause
- Created
- Oct 2, 2024
- Updated
- Oct 2, 2024