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longt5-base-global-mediasum
nbroad/longt5-base-global-mediasum
longt5-base-global-mediasum is a summarization model from nbroad. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- longt5
- Access
- Public
- Created
- Jul 21, 2022
- Updated
- Sep 11, 2023
- SHA
- 85250434
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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. -->
longt5-mediasum
This model is a fine-tuned version of google/long-t5-tglobal-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0129
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: 12
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.66 | 1.0 | 1667 | 2.0643 |
| 2.472 | 2.0 | 3334 | 2.0241 |
| 2.3574 | 3.0 | 5001 | 2.0129 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0a0+17540c5
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Summarization
- Library
- transformers
- Type
- longt5
- License
- cc-by-nc-sa-4.0
- Created
- Jul 21, 2022
- Updated
- Sep 11, 2023